AI Engineer | Multi-Agent Systems | LLM Applications | Data Science

📍 Munich / Erlangen, Germany 📧 [email protected]

LinkedIn • GitHub • Portfolio • Hugging Face

AI Engineer specializing in Multi-Agent Systems, Agentic AI, LLM Applications, RAG Architectures, and Production AI Platforms.

I build enterprise-grade AI systems that combine orchestration, memory, tool usage, observability, and human-in-the-loop workflows. My experience spans industrial NLP, large-scale machine learning research, and end-to-end AI product development.

Mar 2026 – Present

• Building production-grade multi-agent procurement systems using LangGraph and LangChain.
• Developing AI orchestration workflows for task automation and decision support.
• Designing scalable backend services with FastAPI and AWS.
• Improving agent reliability through prompt engineering, validation, and workflow optimization.
• Building Next.js frontend components and CI/CD deployment pipelines.

Jul 2025 – Feb 2026

• Designed and implemented an enterprise multi-agent framework for industrial AI applications.
• Built LangGraph-based orchestration with persistent memory and audit-ready execution flows.
• Developed AI assistants for engineering knowledge retrieval, log analysis, incident summarization, and report generation.
• Implemented human-in-the-loop approval systems for safety-critical actions.
• Exposed the framework through OpenAI-compatible FastAPI endpoints.

Nov 2024 – Feb 2026

• Applied XGBoost, Random Forest, SVM, and PU Learning techniques on 90M+ employment records.
• Built scalable ML pipelines for labor market forecasting and job matching.
• Performed large-scale feature engineering, data analysis, and model evaluation.
• Contributed to research publications and technical reports.

Apr 2025 – Jul 2025

• Developed Generative AI solutions for internal business users.
• Built AI agents for automated data validation and quality assessment.
• Developed internal productivity and event-management applications.
• Supported AI adoption across multiple business units.

Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) 2022 – Present

Relevant Coursework: Machine Learning • Time Series Analysis • Mathematics of Learning • Business Analytics • Linked Data

Guru Gobind Singh Indraprastha University 2018 – 2021

LangGraph • LangChain • LangSmith • MCP • RAG • OpenAI • Gemini • Claude • Hugging Face • Transformers

PyTorch • Scikit-learn • XGBoost • Feature Engineering • Fine-Tuning • Prompt Engineering

Python • FastAPI • Flask • PostgreSQL • Docker • AWS • Linux • CI/CD

Pandas • NumPy • Matplotlib • Plotly • Power BI • Jupyter

Next.js • React • JavaScript • Tailwind CSS • Flutter • Firebase

• Multi-Agent Systems
• Agentic AI
• LLM Infrastructure
• RAG Architectures
• AI Product Development
• Production AI Engineering
• NLP & Machine Learning

Building scalable multi-agent AI systems, orchestration frameworks, and enterprise LLM applications.