25.04.2026 aktualisiert
Premiumkunde
100 % verfügbarFullstack AI Engineer, Founding Engineer | MVPs, AI SaaS, AI Fullstack, Backend, Infra
Koblenz, Deutschland
Weltweit
MSc in Computer ScienceÜber mich
I build AI products end-to-end, from 0→1 MVPs to scalable, production-ready systems. My background combines large-scale engineering experience at Uber, Google, and Amazon with AI expertise from research labs at Harvard and RWTH, plus startup experience as a solo dev building an AI-native platform.
Skills
APIsKünstliche IntelligenzMicrosoft AzureSaasCloud ComputingCloud DatabaseDevOpsPythonMachine LearningProject Management SoftwareSQLTypeScriptFront EndTailwindLarge Language Models
AI / Agentic Systems & LLM Products
Design and development of AI-native products, agentic systems, RAG architectures, LLM applications, and intelligent workflows from early MVPs to scalable, production-ready systems.
Full-Stack & MVP Development
End-to-end product development across backend, frontend, APIs, databases, infrastructure, and deployment. Strong focus on shipping user-facing products quickly without compromising engineering quality.
Scalable Backend & Distributed Systems
Experience building and operating scalable backend systems, microservices, and data-intensive platforms with strong emphasis on performance, reliability, and maintainability.
Data Pipelines, Retrieval & AI Infrastructure
Building data flywheels, retrieval systems, AI workflows, and production infrastructure for modern AI applications, including data processing, storage, observability, and deployment.
Machine Learning, LLMs & Applied AI Research
Deep background in machine learning, large language models, computer vision, and applied AI across both research and production. Experience includes training and evaluating large models, developing novel approaches, and advancing state of the art on research benchmark.
Technical Leadership & Product Ownership
Owning projects from scoping and architecture to implementation, launch, and iteration in startup and large-scale engineering environments.
Sprachen
DeutschMutterspracheEnglischverhandlungssicher
Projekthistorie
Developing AI-native career platform for young talents, drawing from AI research and large-scale software engineering experience
Contributed to Payments Data Platform team and Mirador team, implementing microservices, data pipelines, and leading complex projects with high ambiguity
Conducted research on computer vision, pattern recognition, and LLMs, developed training strategies for image super resolution