AI & Software Engineer · MSc Automotive Software Engineering · TU Chemnitz, Germany
I build production-ready AI systems — from RAG pipelines and multi-agent architectures to MCP servers and ML REST APIs. My focus is on AI that is reliable, integrable, and actually ships.
focus = {
"current": "MCP server development for AI workflow integration",
"specialties": ["LLMs", "RAG", "Multi-Agent Systems", "REST APIs", "CI/CD"],
"languages": ["Python", "TypeScript", "C#", "SQL"],
"domain": "Clinical Software · Safety-Critical Systems · AI Tooling"
}An MCP server exposing AI tools for clinical software development — FHIR resource generation, medical abbreviation resolution, and IEC 62304 compliance checklists. Connects directly to Claude Desktop.
Python MCP FHIR Claude Desktop Pydantic
An MCP server that plugs into development workflows — automated code review checklists, conventional commit message generation, and API documentation formatting.
Python MCP Claude Desktop FastAPI
AI-powered assistant using Retrieval-Augmented Generation with a modular multi-agent architecture. Improved response reliability by 40% over a single-agent baseline.
Python LangChain Vector DB LLMs Prompt Engineering
Text classification system using fine-tuned BERT transformers, achieving 81.5% F1-score. Includes hyperparameter tuning, evaluation pipeline, and a Streamlit demo UI.
Python PyTorch Transformers Streamlit scikit-learn
Production-ready ML pipeline exposed via FastAPI, containerized with Docker. Real-time predictions with a clean architecture designed for extensibility.
Python XGBoost FastAPI Docker REST API
| Area | Technologies |
|---|---|
| AI / ML | PyTorch, TensorFlow, Transformers, LangChain, RAG, LLMs, MCP |
| Backend | FastAPI, Flask, REST APIs, Microservices |
| DevOps | Docker, Kubernetes, Jenkins, CI/CD, GitHub Actions |
| Data | SQL, ETL Pipelines, Data Validation |
| Languages | Python · TypeScript · C# · Java · SQL |
- Data Scientist Intern @ Data Glacier (2025 – Present) — Python automation tools, REST APIs, 60% reduction in manual processing
- Data Scientist Intern @ HackSec Infotech (2023 – 2024) — CI/CD pipelines, Docker/Kubernetes, 30% faster deployments
"Building AI systems that work in the real world — reliable, interoperable, and production-ready."