11.11.2025 aktualisiert
100 % verfügbar
Senior Full Stack & Cloud Engineer with AI/ML Expertise
frankfurt am main, Deutschland
Weltweit
masters in computer applicationsÜber mich
Senior Full Stack & Cloud Engineer with 20+ years of global experience in Python/FastAPI, React, and multi-cloud systems (AWS, Azure, GCP). Specialized in Generative AI, LangChain & RAG workflows. Building scalable, AI-driven platforms with modern DevOps practices.
Skills
JavascriptUser Experience (UX)APIsKünstliche IntelligenzAmazon Web ServicesAmazon Elastic Compute CloudData AnalysisAutomatisierungMicrosoft AzureBootstrapSaasCloud ComputingCloud-EngineeringDatenbankenContinuous IntegrationData IntegrationDatenzuordnungPersistente DatenstrukturDevopsDjangoFinanzenInfrastrukturPythonPostgresqlMemcachedMicrosoft Sql-ServerSql AzureMongodbNeo4JNode.JsNosqlNunitOpen SourceOracle FinancialsPerformance-TuningAbfrageoptimierungTelemetrieRedisZuverlässigkeitstechnikSwaggerSoftwareentwicklungWorkflowsOpenapiDatadogTestenGoogle CloudPostmanAzure Data FactoryTailwindReactJSFlaskLarge Language ModelsGrafanaCachingGenerative AIIndexerBackendFastapiPytestMaterial UIKubernetesPerformance MonitorFull Stack EntwicklungGraphqlFront EndReact ReduxFunktionale ProgrammierungApi DesignRestful ApisTerraformMochaAdministration von DatenbankenDocker
Skills & Expertise
Professional Experience
Full Stack Development
20+ years of experience designing and delivering scalable full-stack applications. Strong frontend expertise with ReactJS, Redux, JavaScript, and Node.js combined with backend proficiency in Python, Django, Flask, and FastAPI for complete end-to-end development. Skilled in building modular, maintainable codebases with performance optimization and version-controlled pipelines.
Cloud & DevOps
Extensive experience deploying and maintaining cloud-native architectures across AWS, Azure, and GCP. Skilled in using Docker, Kubernetes, and Terraform for scalable infrastructure, CI/CD automation, and container orchestration. Adept at designing secure, cost-optimized deployments using Cloud Run, EC2, Lambda, and Azure DevOps pipelines.
AI/ML Engineering
Specialized in Generative AI and LLM systems using LangChain, LangGraph, TensorFlow.js, and vector databases (Pinecone, FAISS, Neo4j Aura). Built retrieval-augmented generation (RAG) workflows and AI-driven data mapping for production-ready applications. Experienced in integrating OpenAI APIs and LLM models for automated search, classification, and data enrichment.
Database Management
Hands-on expertise with relational and NoSQL databases including PostgreSQL, SQL Server, Azure SQL, Oracle 12g, MongoDB Atlas, Redis, Memcached, Pinecone, and Neo4j Aura. Skilled in schema design, indexing, query optimization, caching, and hybrid data persistence for large-scale applications.
UI Frameworks
Proficient with Material UI, Carbon Components, Ant Design, Tailwind CSS, and Bootstrap for creating accessible, responsive, and modern interfaces. Strong focus on UX consistency and maintainable component libraries for enterprise-grade SaaS platforms.
API Development
Experienced in RESTful and GraphQL API design using Django REST Framework, FastAPI, Apollo, and Node.js/Express. Skilled in API documentation with Swagger, Postman, and OpenAPI standards, ensuring secure, scalable integration between systems.
Testing & Monitoring
Implemented end-to-end testing frameworks using Pytest, PyUnit, Jest, Mocha/Chai, and xUnit/NUnit. Integrated observability with Grafana, OpenTelemetry, and DataDog for proactive monitoring and reliability engineering.
Professional Experience
Over two decades of experience in Europe & Asia across finance, SaaS, compliance, and enterprise modernization. Recent roles: Senior Full Stack Developer at Debitos & Breakwater, leading AI-ready systems with FastAPI, React, LangChain.
Previously, Project Lead at Persistent Systems, modernizing platforms with Django, PostgreSQL, Redis, improving API speed 60%. Earlier, Senior System Analyst at Atos, delivered cloud migration and data integration with Azure Data Factory, Docker/Kubernetes.
Open-source contributor; lead the Dealflow Data Platform—an AI-augmented graph system with LangChain, Neo4j, React for data exploration.
Sprachen
DeutschGrundkenntnisseEnglischMuttersprache
Projekthistorie
Built and deployed a full-stack graph application for startups and investors using Node.js, React, Neo4j, and LangChain. Engineered natural language to Cypher translation workflow and containerized for cloud deployment on GCP and Neo4j Aura.
Architected multi-screen data workflow with Next.js/React/TS, refactored backend with FastAPI + SQLAlchemy, integrated LangChain & LangGraph workflows with Pinecone vector DB for LLM-powered search, and containerized services with CI/CD pipelines.
Built ReactJS components with AWS Cognito & S3, optimized GraphQL with DataLoader improving performance by 35%, and integrated RabbitMQ with FastAPI for asynchronous workflows.
Portfolio
Dealflow Data Platform – Architecture
System architecture integrating React frontend, Express.js backend, Neo4j graph DB, and LangChain AI layer for scalable cloud-ready graph querying.
https://github.com/santoshnarayanan/dealflow-data
Tech Stack & Deployment
React, Node.js, Neo4j, LangChain stack deployed via Docker & Google Cloud Run. AI-driven Cypher query generation using LangChain + OpenAI.
https://github.com/santoshnarayanan/dealflow-data
Data Model & Relationships
Graph model of startups, investors, and funding rounds visualized in Neo4j. Optimized for relationship queries and AI-driven data insights.
https://github.com/santoshnarayanan/dealflow-data
Request Workflow
Flow diagram showing natural language query processed through Express backend, LangChain AI layer, and Neo4j execution returning structured responses.
https://github.com/santoshnarayanan/dealflow-data
Neo4j Aura Visualization
Screenshot of live graph query execution on Neo4j Aura.
https://github.com/santoshnarayanan/dealflow-data