09.07.2026 aktualisiert

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Full Stack AI Engineer | Python | AWS (2x Certs) | Terraform | React | TypeScript

Berlin, Deutschland
Berlin +25 km
BSc
Berlin, Deutschland
Berlin +25 km
BSc

Profilanlagen

Project_Overview_31-May-2026.pdf
fl_EN_Skills_Profile_Focus_Ai_Eng_06-Jul-2026.pdf
fl_EN_Resume_06-Jul-2026.pdf
fl_DE_Skillsprofil_Fokus_Ai_Eng_06-Juli-2026.pdf
fl_DE_Skillsprofil_Fokus_Devops_Cloud_02-Juli-2026.pdf
fl_EN_Skills_Profile_Focus_Devops_Cloud_02-Jul-2026.pdf

Über mich

With 12+ years of software engineering experience and a background in full-stack and cloud development, I now focus on agentic systems. I work primarily in Python and React, deploy on AWS and GCP, and lean heavily on agentic development workflows (Claude Code) day-to-day.

Skills

HTMLAPIsKünstliche IntelligenzAmazon Web ServicesCloudfrontAmazon S3Bash ShellCloud-EngineeringCode-ReviewDatenbankenContinuous IntegrationDevOpsGitHubInfrastrukturPythonPostgreSQLSoftware ArchitectureSQLSqlalchemyTypeScriptDatadogGoogle CloudReact.jsCloud TechnologiesInfrastructure as Code (IaC)BackendGitLabFastAPIVue.JspandasGitlab-CiKubernetesHuggingFacePlaywrightFull Stack EntwicklungApi DesignCloudwatchTerraformDocker
Provided contact and working languages: English, German.
Primary Focus Areas

AI / LLM Engineering Building LLM-powered applications — tool-calling agents, agent loop architecture, MCP integrations, and RAG. Production concerns: SSE streaming APIs, multi-turn context management, and LLM observability (OTel-compatible traces, metrics, latency/error tracking). Daily agentic dev workflows with Claude Code.

Full-Stack/Backend Development
12+ years of hands-on experience - Led full-stack development across multiple technology stacks, from early-stage MVPs to applications within enterprises.

DevOps
5+ years implementing CI/CD and infrastructure automation - Designed and maintained deployment pipelines using GitHub Actions since 2020, implemented infrastructure-as-code with Terraform, and established automated testing practices across teams. Experience with Kubernetes orchestration and container management.

Cloud Engineering
AWS Solutions Architect Associate certified - Deep hands-on experience with AWS services including ECS, Aurora, VPC design, and serverless architectures. Managed multi-environment deployments and implemented security best practices. Growing expertise with Google Cloud through ongoing projects. Experience with Azure through previous projects.

Data Engineering
Data engineering spanning traditional and emerging approaches - Proven experience with database design, basic ETL pipelines (pandas/SQL), and statistical analysis.
Core Technical Competencies

  1. AI / LLM: Claude API, Hugging Face; agents & tool-calling, MCP, RAG, LangChain/LangGraph, structured outputs; SSE streaming; LLM observability (LangSmith, OTel)
  2. Web Frontend: React.js, Vue.js, TypeScript, JavaScript, Material UI - 7+ years production experience
  3. Backend: Python (FastAPI, SQLAlchemy, Pydantic), Node.js, previous statically-typed OOP experience (C#, both dotnet core and pre-core)
  4. API Design: RESTful services, authentication (Auth0, Firebase)

  1. Cloud & Infrastructure: AWS, ECS, Aurora, S3, CloudFront, VPC, CloudWatch, Secrets Manager
  2. Infrastructure as Code: Terraform (HCL), 2+ years production usage
  3. Containerization: Docker, Kubernetes (deployments)

  1. DevOps & Automation, CI/CD: GitHub Actions, GitLab CI, automated testing pipelines
  2. Testing: End-to-end (Playwright, Cypress), unit testing across multiple frameworks
  3. Monitoring and Observability: Application observability, infrastructure health checks, recent exposure to DataDog

  1. Data & Databases: PostgreSQL, MySQL, MongoDB, Supabase, ORMs, schema design and optimization
  2. Data Processing: pandas, SQL scripting, data pipeline development
  3. Visualization: matplotlib, d3.js, nivo

  1. Leadership & Process: Technical mentoring, code review processes, agile methodologies
  2. Architecture planning, technology evaluation, knowledge transfer

Sprachen

DeutschverhandlungssicherEnglischMutterspracheJapanischGrundkenntnisseSchwedischGrundkenntnisse

Projekthistorie

Bight Env Patcher

Open Source
Summary: .env patcher for git branch workflows that automatically synchronizes local environments on git checkout.
Repository: https://github.com/AndrewADev/bight

Key Features & Accomplishments
  1. Develop a Go CLI tool that patches .env files on git checkout, synchronizing branch-specific environment variables while leaving untracked variables untouched.
  2. Implement a .bight.yml configuration schema that maps per-branch variable strategies to named environment files, allowing per-variable sync behavior to be declared alongside the repo.
  3. Build a distribution pipeline using GitHub Actions to provide pre-compiled release binaries and checksums for macOS, Linux, and Windows.
  4. Integrate cobra for CLI structure, including a bight install subcommand that registers the post-checkout git hook automatically.
Technologies
  1. Backend: Go
  2. DevOps: GitHub Actions
  3. Other Tools: cobra, godotenv, yaml.v3, Homebrew

CV Template Management Tool

Side Project
Effort: 60-80 d
Summary: A CV generation pipeline that allows targeting multiple output formats (LaTeX, PDF, Markdown, Docx) using template-driven workflows, eliminating manual document maintenance.

Key Features & Accomplishments

  1. Implement a multi-format export pipeline that renders resume, portfolio, and summary documents to LaTeX, PDF, Markdown, and DocX from a single data source.
  2. Prototype features via LLM-assisted development, iteratively refactoring toward a modular architecture with project filtering, schema validation, an extensible Jinja template system, and a web UI.
  3. Add MCP server to enable integration with LLM tools (Claude Desktop), supporting contextual recommendations for relevant projects and experiences.
  4. Build interactive LLM-driven workflows for project ingestion (from GitHub profile and activity) and resume refinement, with human-in-the-loop checkpoints.
  5. Design assistive rather than autonomous workflows to maintain authentic, quality content.
Technologies
  1. Frontend: React, TypeScript, TanStack Router, TanStack Query, Tailwind CSS
  2. Backend: Python, Pydantic, PyYAML, LaTeX, Jinja2, Markdown, FastMCP, MCP, Rich, Typer, FastAPI, Uvicorn, LangGraph, LangSmith
  3. DevOps: uv, pre-commit, black, GitHub Actions, conform
  4. Testing: pytest
  5. Other Tools: Claude Code

SaaS App MVP Development

Side Project
Duration: Feb 2025 - Present
Effort: 60 - 80d

Key Features & Accomplishments
  1. Develop full-stack learning application using React with Material UI and TypeScript frontend, implementing Redux Toolkit for state management and Firebase Authentication for user management.
  2. Implement scalable cloud infrastructure on Google Cloud Platform using Terraform IaC, featuring scalable containerized deployment with Cloud Run, automate image management via Artifact Registry, and secure CI/CD pipelines using GitHub Actions with workload identity.
  3. Build comprehensive RESTful API with FastAPI featuring dependency injection, robust error handling, and pagination support for CRUD operations with user-scoped data access.
  4. Establish modern development workflows including Docker containerization, multi-stage builds for production optimization, automated artifact cleanup policies, and infrastructure-as-code practices for reproducible deployments.

Technologies
  1. Frontend: React.js, TypeScript, Material UI, HTML, CSS, yarn
  2. Backend: Python, FastAPI, Pydantic, Firebase (Auth)
  3. Data: PostgreSQL, Alembic, SQLAlchemy
  4. Infrastructure: Google Cloud (Cloud Run, Artifact Registry, GCE, Budgets), docker, Terraform, HCL
  5. DevOps: uv, GitHub Actions, Task & Taskfiles, Renovate
  6. Testing: pytest, Playwright, Storybook

GitHub Analysis Agent

Side Project
Effort: 15-20 d
Summary: An LLM-powered agent built with LangChain and LangGraph that performs intelligent analysis of GitHub repositories using Anthropic's Claude API for automated repository research and insights.

Key Features & Accomplishments
  1. Develop multi-provider LLM agent using LangChain and LangGraph with SQLite-based state persistence, supporting Ollama (local), Anthropic (cloud), and HuggingFace Inference API for flexible deployment and privacy options.
  2. Implemented comprehensive GitHub API integration featuring starred repository pulse analysis, topic-based search, commit hotspot detection with pluggable churn calculation strategies (total activity vs. rework rate), and thread-based conversation management with resume capability.
  3. Build dual-interface system with Typer CLI for scripting/automation and Gradio web UI for interactive exploration, including conversation history browser and repository favorites management..
Technologies
  1. Backend: Python, LangChain, LangGraph, Anthropic API, PyGithub, Pydantic, Typer
  2. Infrastructure: Ollama, HuggingFace
  3. DevOps: pipenv, python-dotenv
  4. Testing: pytest, pytest-mock
  5. Other Tools: Claude Code

OpenSeadragon - Web Image Viewer

Open Source Project
Effort: 3 - 4 weeks
Role: Contributor
Summary: Contributed development infrastructure improvements, dependency management, and code modernization initiatives to OpenSeadragon, a pure JavaScript web-based viewer for zoomable images.
Repository: https://github.com/openseadragon/openseadragon
Key Features & Accomplishments
  • Modernized CI/CD infrastructure by updating Travis CI to current Node LTS version, and later improved reliability by migrating to GitHub Actions workflows for automated testing, which provide free credits for open-source projects.
  • Implemented dependency management initiatives including major QUnit test framework updates and comprehensive dev dependency modernization.
  • Enhanced code quality and maintainability through ESLint configuration updates enabling ES6 syntax support and implementing automated browser compatibility linting via ESLint configuration updates.
  • Improved testing infrastructure by identifying and reporting code coverage issues, and advocating for technical debt reduction through unused code removal.
Technologies
  • Frontend: JavaScript, HTML5 Canvas
  • DevOps: GitHub Actions, Travis CI, Grunt, Node.js
  • Testing: QUnit, Puppeteer (via grunt-contrib-qunit)
  • Other Tools: Browserslist, ESLint

AI Automations

IU Group (permanent)

Sonstiges

1000-5000 Mitarbeiter

Role: Full Stack AI Engineer
Summary: Develop AI-powered automations within IU Group

Key Features
  1. Engineered a two-stage document grouping system combining heuristic ranking signals (recency, content substance) with LLM verification to deterministically reconstruct fragmented multi-file uploads.
  2. Standardized configuration across frontend and backend repos to support agent-driven development, adding automated checks (lint gates, type checks) that caught oversights in AI-generated code before they reached review.

Technologies
  1. Frontend: React, Vite
  2. Backend: Python, FastAPI, Pydantic, PIL
  3. Data: PostgreSQL, Supabase, psql
  4. Infrastructure: AWS Lambdas, Terraform
  5. DevOps: git, GitHub, DataDog, LangSmith, makefiles
  6. Other Tools: Claude Code, Linear, GitBook

Rusty Math

Prototype
Summary: A prototype demonstrating the development and distribution of a Python package implemented in Rust.
Repository: https://github.com/AndrewADev/rusty-math

Key Features & Accomplishments
  1. Implemented a Python extension using PyO3 and maturin to bridge Rust logic with Python, utilizing a basic geometry library as a functional example.
  2. Configured a professional development workflow using uv for dependency management and Task for build automation, integrating git-cliff to generate release notes based on conventional commits.
  3. Established a CI/CD pipeline via GitHub Actions utilizing PyO3/maturin-action to automate the build and distribution of platform-specific wheels for Python environments.

Technologies
  1. Backend: Rust, Python, PyO3, maturin
  2. DevOps: GitHub Actions
  3. Testing: pytest
  4. Other Tools: uv, Task, git-cliff

Agentic EdTech Application

IU Group (permanent)

Sonstiges

1000-5000 Mitarbeiter

Role: Full Stack AI Engineer
Summary: Full-stack AI engineer on a greenfield agentic learning application, shipping real-time LLM features from context management through to production observability.

Key Features & Accomplishments
  1. Developed an agentic EdTech application guiding learners to mastery of common AI Tools as a full stack AI engineer, applying modern AI-enabled development workflows, implementing core agent patterns including tool-calling and agent loop architecture.
  2. Implemented context management and prompt engineering strategies to support coherent multi-turn conversations.
  3. Developed Python REST API with SSE-based streaming for real-time LLM response delivery, and contributed to data modeling and persistence layer (PostgreSQL), including schema design.
  4. Implemented observability tooling (OTel-compatible traces, metrics, and logging) to monitor LLM call performance, latency, and error rates in production.

Technologies
  1. Frontend: React, Vite, ShadCN, Tailwind
  2. Backend: Python, FastAPI, Pydantic
  3. Data: PostgreSQL, SQLAlchemy, SQLModel
  4. Infrastructure: Azure (ACA, VNet, ACR, Blob storage)
  5. DevOps: git, GitHub, Azure CLI
  6. Domains: AI Agents, Context engineering
  7. Other Tools: Claude Code, Storybook

WordPress to Hugo Blog Migration

Side Project
Effort: 1-2 d
Summary: Migrated a legacy WordPress blog to a Hugo-based static site, including content extraction from a raw SQL dump, theme customization, and automated deployment to Cloudflare Pages.

Key Features & Accomplishments
  1. Reviewed and corrected migrated content: resolved legacy WordPress shortcodes ([gallery], [caption], embedded YouTube) into idiomatic Hugo shortcodes, fixed internal links across posts, and rewrote wp-content/uploads/ image references to the new /images/ static path.
  2. Configured the PaperMod theme as a git submodule and authored a custom Hugo shortcode (warning.html) plus matching CSS for callout blocks not covered by the upstream theme.
  3. Set up a GitHub Actions CI/CD pipeline to build the site with Hugo Extended and deploy to Cloudflare Pages via Wrangler, including submodule checkout and enableGitInfo for git-based last-modified timestamps on posts.
  4. Added redirects from legacy WordPress URLs to the new /posts/ slugs to preserve inbound links during the cutover.
Technologies
  1. Frontend: HTML, CSS, Markdown, PaperMod theme
  2. Backend: Python, Hugo (Go templates)
  3. Data: MySQL/SQL parsing, WordPress schema
  4. Infrastructure: Cloudflare Pages
  5. DevOps: GitHub Actions, Wrangler, Task & Taskfiles, git submodules
  6. Other Tools: Claude code

GitHub Enterprise Migration

IU Group (permanent)

Sonstiges

1000-5000 Mitarbeiter

Role: DevOps
Effort: 2 - 3 d

Responsibilities
  1. Migrated over a dozen private team repositories from GitHub to GitHub Enterprise using the GitHub Enterprise Importer (GEI) tooling.
  2. Troubleshot silent authentication failures using the GitHub Enterprise Importer stemming from undocumented PAT setup prerequisites, coordinating with the DevOps team to resolve.
Technologies
  1. DevOps: GitHub, GitHub Enterprise, GitHub Enterprise Importer

Tag Parser Comparison Tool

Prototype
Effort: 1 d
Summary: A comparative analysis tool for evaluating different key-value pair parsing approaches with interactive Streamlit interface.

Key Features & Accomplishments
  1. Built interactive Streamlit application comparing three parsing methodologies: regex pattern matching, spaCy NLP processing, and Anthropic Claude (LLM) API integration for key-value pair extraction.
  2. Implemented modular parser architecture, enabling easy extension and comparison of different parsing strategies.
  3. Developed performance analysis including execution time metrics and similarity scoring to evaluate parsing accuracy across different input formats.
  4. Created structured data models and error handling for robust comparison of parsing results with visualization of method effectiveness.
Technologies
  1. Frontend: Streamlit, HTML
  2. Backend: Python, Anthropic API (LLM API), spaCy, pandas
  3. DevOps: uv, python-dotenv
  4. Testing: pytest
  5. Other Tools: Claude Code

Recipe Insights - AI-Powered Recipe Analysis

Side Project
Effort: 5 d
Summary: Built an LLM-powered tool that analyzes recipe dependencies and visualizes ingredient-equipment-action relationships through interactive network graphs for Hugging Face's June 2025 Agents & MCP Hackathon.
Repository: https://github.com/AndrewADev/recipe-insights

Key Features & Accomplishments
  1. Designed a hybrid AI pipeline combining structured LLM prompting with agentic workflows using smolagents framework for dependency parsing and relationship mapping.
  2. Implemented interactive network visualizations using Plotly with force-directed graph algorithms to display ingredient→action→equipment dependencies with export capabilities.
  3. Built comprehensive error handling and state management system to handle non-deterministic agent responses and provide seamless user experience through multi-step AI pipeline.
  4. Developed using modern AI-assisted workflow with Claude Code for rapid prototyping and established comprehensive Python development best practices with uv, pytest, and pre-commit hooks.
Technologies
  1. Frontend: Gradio, Plotly, HTML, CSS
  2. Backend: Python, Pydantic, pandas, smolagents, Hugging Face Inference API, spaCy NLP
  3. Infrastructure: HuggingFace Spaces, Docker
  4. DevOps: uv, pre-commit, GitHub Actions
  5. Testing: pytest
  6. Other Tools: Claude Code

Statistical analysis for a research project

Collaboration
Effort: 5 - 10 days
Summary: Perform statistical analysis and generate graphics for a research project in neonatal clinical methodology.

Key Features & Accomplishments
  1. Performed data preprocessing and exploratory analysis using Python ecosystem, cleaning and preparing clinical datasets for statistical testing.
  2. Evaluated statistical assumptions and selected appropriate hypothesis tests, based on data characteristics
  3. Conducted comprehensive statistical analysis using statsmodels, generating summary statistics for research findings
  4. Created visualizations and charts for presentation.
Technologies
  1. Frontend: Jupyter Notebook, matplotlib
  2. Backend: Python, statsmodels, pandas, numpy

Cloud Infrastructure Setup & CI/CD Pipeline Development

DINA Elektronik GmbH (permanent)

Industrie und Maschinenbau

50-250 Mitarbeiter

Responsibilities
  • Architected AWS-based cloud infrastructure using Terraform, implementing infrastructure-as-code best practices.
  • Provided technical oversight through code reviews for frontend and backend pull requests, ensuring architectural consistency and adherence to cloud development best practices across the full application stack.
  • Designed and implemented multi-environment deployment pipelines using GitHub Actions.
  • Integrated security scanning tools (checkov) into CI/CD process to ensure infrastructure compliance.
  • Documented operational procedures as runbooks and cloud architecture in GitHub and Confluence for team reference.
  • Conducted knowledge transfer sessions to upskill team members on cloud infrastructure and CI/CD practices.
  • Managed AWS resources and optimized infrastructure costs.
Technologies
  • Frontend: Vue.js, Material Design components, Pinia, Tailwind CSS
  • Backend: Python, FastAPI, Pydantic, REST
  • Data: PostgreSQL, Alembic, SQLAlchemy
  • Infrastructure: AWS (VPC, EC2, Aurora PostgreSQL, S3, CloudFront, Secrets Manager, CloudWatch), Terraform, HCL, Auth0
  • DevOps: GitHub Actions, Docker, checkov
  • Testing: Playwright, vitest, pytest

Application Architecture Rewrite Analysis & Roadmap Development

DINA Elektronik GmbH (permanent)

Industrie und Maschinenbau

50-250 Mitarbeiter

Responsibilities
  • Analyzed current application architecture to identify pain points, technical debt, and scaling limitations.
  • Contributed to collaborative workshops with development team and key stakeholders to gather requirements, constraints, and establish shared understanding of technical challenges.
  • Designed and evaluated multiple migration approaches including "strangler fig" pattern versus complete rewrite, providing detailed trade-off analysis for each scenario.
  • Developed and presented a phased implementation roadmap with clear technical milestones, dependency mappings, and resource requirements.
  • Documented architectural decisions and their rationales in Confluence for organizational knowledge sharing.
Technologies
  • Documentation: Confluence, Miro, GitHub, Architectural Decision Records (ADRs)

Web Application MVP Development and Feature Expansion

DINA Elektronik GmbH (permanent)

Industrie und Maschinenbau

50-250 Mitarbeiter

Responsibilities
  • Architected and implemented frontend components using Vue.js with AntDesign-Vue, establishing state management patterns with MobX.
  • Managed all aspects of development from frontend UI components to backend services, database migrations, and cloud infrastructure, ensuring continuous delivery despite limited resources.
  • Developed RESTful backend endpoints using Python FastAPI with robust data validation through Pydantic.
  • Designed and implemented database models with SQLAlchemy and managed schema migrations using Alembic. Updated data import scripts based on pandas and common data manipulation libraries.
  • Created and maintained cloud infrastructure using Terraform on AWS, following infrastructure-as-code best practices.
  • Maintained and extended CI/CD pipelines using GitHub Actions to automate testing, building, and deployment processes.

Technologies
  • Frontend: Vue.js, TypeScript, MobX, AntDesign-Vue, Tailwind CSS
  • Backend: Python, FastAPI, Pydantic, click, REST, Jinja
  • Data: MySQL, SQLAlchemy, Alembic, pandas
  • Infrastructure: AWS (ECS, Aurora MySQL, S3, CloudFront, VPC, CloudWatch), Terraform, HCL, Auth0, MinIO
  • DevOps: GitHub Actions, Docker, bash
  • Testing: Playwright, vitest, pytest
  • Other Tools: Storybook, Figma

Dashboard App MVP Development

Semrush GmbH (permanent)

Marketing, PR und Design

1000-5000 Mitarbeiter

Responsibilities
  • Developed React.js web applications and a Node.js backend on a GCP and internal infrastructure.
Technologies
  • Frontend: React.js, TypeScript, Webpack, HTML, CSS
  • Backend: GCP, Node.js, Express, REST
  • Infrastructure: GCP
  • DevOps: git, GitLab
  • Testing: Unit testing

Open ONI - Historic Newspaper Archive Platform

Open Source Project
Effort: 2 - 3 weeks
Role: Contributor
Summary: Contributed development process improvements, code quality enhancements, and community documentation initiatives to Open ONI, a Django-based platform for browsing and searching historic newspapers.
Repository: https://github.com/open-oni/open-oni
Key Features & Accomplishments
  • Implemented GitHub Actions CI/CD workflow for automated testing on pull requests, improving development process reliability and contributor experience across the community-maintained project.
  • Enhanced code quality through JavaScript modernization in OpenSeadragon viewer integration, replacing deprecated functions and removing unused variables to improve maintainability.
  • Resolved cross-platform development issues by fixing Windows checkout problems with changelog template files, ensuring consistent developer experience across different operating systems.
  • Advocated for improved project accessibility through comprehensive documentation proposals, including plugin development tutorials, conceptual glossaries for library science terms, and enhanced repository discoverability features.
Technologies
  • Frontend: OpenSeadragon, jQuery, Bootstrap, JavaScript
  • Backend: Python, Django
  • Data: MySQL, Solr
  • Infrastructure: Docker
  • DevOps: GitHub Actions, CI/CD

Healthcare Billing Integration & Technical Debt Reduction

ABATON GmbH (permanent)

Pharma und Medizintechnik

< 10 Mitarbeiter

Responsibilities
  • Led implementation of the billing module that enabled prescription-based revenue
  • Identified critical technical debt and prioritized refactoring efforts to improve system stability prior to launch
  • Managed team workload to balance feature development with necessary technical improvements

Technologies
  • Frontend: JavaScript (ES 6), React, TypeScript, Material UI, HTML, CSS, yarn, PWA
  • Backend: C#, ASP.NET Core Web API, dotnet core, NancyFx 2, REST
  • Data: MongoDB
  • Infrastructure: Linux, Kubernetes, Helm
  • DevOps: git, GitHub, Docker
  • Testing: Cypress, xUnit, Moq, Testing Library
  • Other Tools: JIRA, Confluence, Visual Studio/VS Code

Medical Software DiGA Certification Program

ABATON GmbH (permanent)

Pharma und Medizintechnik

< 10 Mitarbeiter

Responsibilities
  • Led a cross-functional team of developers through DiGA application preparation and certification processes
  • Managed all aspects of day-to-day development operations, including technical sprint planning, code reviews, and release management
  • Designed and implemented core application features required to meet both DiGA standards and product objectives
  • Created and maintained technical documentation required for certification
  • Served as technical liaison between development team and regulatory specialists
  • Established and enforced coding standards and architecture patterns
  • Mentored junior developers and facilitated knowledge sharing across the team
  • Mentored team members in implementing best practices for medical software development

Technologies
  • Frontend: JavaScript (ES 6), React, TypeScript, Material UI, HTML, CSS, yarn, Storybook
  • Backend: C#, ASP.NET Core Web API, dotnet core, NancyFx 2, REST
  • Data: MongoDB
  • Infrastructure: Linux, Kubernetes, Helm
  • DevOps: git, GitHub, Docker
  • Testing: Cypress, xUnit, Moq, Testing Library
  • Other Tools: JIRA, Confluence, Visual Studio/VS Code

Medical Device Software Qualification & Agile Implementation

ABATON GmbH (permanent)

Pharma und Medizintechnik

< 10 Mitarbeiter

Responsibilities
  • Designed and implemented agile-based workflows to increase development transparency and predictability
  • Collaborated with regulatory affairs specialist to create technical documentation meeting medical device requirements
  • Implemented full-stack features supporting core functionality required for medical device qualification
  • Established CI/CD pipelines to automate build processes, testing, and quality gates
  • Defined technical standards and processes that ensured high quality and regulatory compliance

Technologies
  • Frontend: JavaScript (ES 6), React, Material UI, HTML, CSS, yarn
  • Backend: C#, ASP.NET Core Web API, dotnet core, NancyFx 2, REST
  • Data: MongoDB
  • Infrastructure: Linux, Kubernetes, Helm
  • DevOps: git, GitHub, Docker
  • Testing: Cypress, xUnit, Moq, Testing Library
  • Other Tools: JIRA, Confluence, Visual Studio/VS Code

Construction Bidding Tool Prototype

Start-up in Construction Technology

Architektur und Bauwesen

< 10 Mitarbeiter

Responsibilities
  • Development of a full-stack web for digitizing and automating bidding and sourcing in the construction industry

Technologies
  • Frontend: JavaScript (ES 6), Bootstrap-Vue, Vue.js, HTML, CSS, Sass, npm
  • Data: MySQL
  • DevOps: git, GitLab, Docker
  • Testing: Cypress

MVP Development (various projects)

brayn.io GmbH (Permanent)

Internet und Informationstechnologie

< 10 Mitarbeiter

Responsibilities
  • Developed quality custom software, with a focus on client requirements and minimal time to market.
  • Developed and optimized reusable modules for template solution. Contributed to retrospectives and design discussions.

Technologies
  • Frontend: JavaScript (ES 6), Bootstrap-Vue, Vue.js, HTML, CSS, Sass, npm
  • Backend: Scala, Play Framework, Rest
  • Data: MySQL
  • Infrastructure: nginx, Linux
  • DevOps: git, GitLab, Docker
  • Testing: Cypress
  • Other Tools: JetBrains IDEs, Redmine

Word Processor Web App

Government Agency

Öffentlicher Dienst

250-500 Mitarbeiter

Responsibilities
  • Developed and maintained custom word processor web app, designed features, and performed deployments.
  • Drove adoption of unit tests. Coordinated early-stage testing, assessed issues found by first-pass testers.
  • Mentored junior developers new to the project and some new to the profession. Refactored trouble spots to be tested and maintainable by junior team members.

Technologies
  • Frontend: JavaScript (ES 6), Vue.js, ProseMirror, HTML, CSS, Sass
  • Backend: Java, REST
  • Data: PostgreSQL
  • Infrastructure: Linux
  • DevOps: git, GitLab, Docker
  • Testing: Jest
  • Other Tools: VS Code, JIRA

API Integration and Development

Home Services Company

Sonstiges

1000-5000 Mitarbeiter

Responsibilities
  • Automated business processes via web-based APIs, reconciling legacy processes with modern enterprise systems.
  • Designed and developed software for consuming partner APIs, as well as stand-up internal APIs. Advised on issues of system architecture and scalability.
  • Tested software through unit and integration tests, and delivered presentations to teammates on developed software.
Technologies
  • Backend: C#, ASP.NET Web API 2, AutoMapper, Ninject, REST, SOAP, JSON, XML
  • Data: SQL
  • DevOps: VSTS, NuGet, Octopus Deploy
  • Testing: NUnit, MS Test, Moq, Bogus

Raspberry Pi Proof-of-Concept

Industrial Automation Company

Industrie und Maschinenbau

>10.000 Mitarbeiter

Responsibilities
  • Developed a python application for the consumption and forwarding of sensor data to a cloud platform.
Technologies
  • Backend: Python, pip, virtualenv, PySunSpec, Modbus-TCP, JSON
  • Data: BeautifulSoup
  • Infrastructure: Linux, VirtualBox

System Architectural Analysis

C. A. Short Company

Sonstiges

50-250 Mitarbeiter

Responsibilities
  • Gathered use-cases, inventoried application capabilities, and interviewed dev staff for an assessment of applications across client IT department.
  • Used findings to produce high-level technical and business documentation for stakeholders, and to contribute to team planning discussions.

Grants Management System

HMB eGrants

Öffentlicher Dienst

< 10 Mitarbeiter

Responsibilities
  • Maintained and extended the eGrants ASP.NET WebForms application.
  • Implemented best practices including streamlining development processes, furthering development infrastructure, and targeting technical debt. Contributed regularly and lead topics at team design meetings.

Technologies
  • Frontend: JavaScript, jQuery, HTML, CSS
  • Backend: C#, ASP.NET WebForms, XML, CodeSmith ORM
  • Data: SQL Server, T-SQL, SSRS
  • Infrastructure: Azure
  • DevOps: NuGet, PowerShell, Visual Studio Team Services, TFS
  • Testing: NUnit, Rhino Mocks

Collaboration Platform Migration and Analytics Dashboards

Central Ohio Trauma System

Öffentlicher Dienst

10-50 Mitarbeiter

Responsibilities
  1. Overhauled and integrated a collaboration platform, including translating business requirements into .NET applications that integrate with the platform's REST API.
  2. Automated migration and configuration tasks, and modeled and wrote reports for business data. Migrated an existing VB.NET WebForms application and SQL Server into Azure
Technologies
  1. Frontend: JavaScript, Knockout, HTML, CSS
  2. Backend: C#, ASP.NET (MVC, WebForms), VB.NET, REST API, XML
  3. Data: SQL Server, T-SQL, Power Query, Power BI, Excel
  4. Infrastructure: Azure
  5. DevOps: git, PowerShell
  6. Testing: MS Test

Overhaul of Enterprise Integration Hub

Reynolds and Reynolds (Permanent)

Sonstiges

5000-10.000 Mitarbeiter

Responsibilities
  • End-to-end ownership of projects maintaining and extending functionality of a mission-critical enterprise integration hub. Developed, debugged, and tested in a scaled, distributed multi-tiered environment.
  • Assessed and overhauled the supporting web app, which provided development and support staff with critical health data and vital statistics on the hub. Increased reliability to allow quick, intuitive diagnosis of performance issues.

Technologies
  • Frontend: HTML, CSS, WinForms
  • Backend: ASP.NET WebForms, C#, MSMQ
  • Data: SQL Server, T-SQL
  • Infrastructure: subversion
  • Testing: MS Test

Maintenance of Pick BASIC and C Applications

Reynolds and Reynolds (Permanent)

Sonstiges

5000-10.000 Mitarbeiter

Responsibilities
  • Maintained and enhanced applications ranging from lower-level systems utilities, data access applications, to internal testing tools.

Technologies
  • Backend: Pick BASIC/UniVerse, C, HTTP
  • DevOps: bash, Linux, C

Zertifikate

Quickstart: LangSmith Essentials

LangSmith

2026

Introduction to Agent Skills

Anthropic

2026

Introduction to Subagents

Anthropic

2026

Transformers in Practice

DeepLearning.AI

2026

Building Agentic RAG with Llamaindex

DeepLearning.AI

2026

Quantization Fundamentals with Hugging Face

DeepLearning.AI

2026

AI Agents for Image and Video Generation

DeepLearning.AI

2026

Retrieval Augmented Generation (RAG)

DeepLearning.AI

2026

Build Interactive Agents with Generative UI

DeepLearning.AI

2026

Introduction to Model Context Protocol (MCP)

Anthropic

2026

Conversational AI on Vertex and Dialogflow CX

Google

2026

AI Agents Fundamentals

Hugging Face

2025

AWS Certified Solutions Architect – Associate

Amazon Web Services (AWS)

2025

AWS Certified AI Practitioner

Amazon Web Services (AWS)

2025

Academy Accreditation - Databricks Fundamentals

Databricks

2025

Introduction to Data Science in Python

Coursera

2019

Build Data Visualizations with D3.js and Firebase

Udemy

2019

Machine Learning

Coursera

2017

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