Building intelligent systems with LLMs, RAG pipelines, and Agentic AI. Turning complex data into scalable, production-ready solutions on Microsoft Azure.
Hands-on expertise across the full modern AI stack — from intelligent agents to production pipelines.
Designing and deploying large language model systems for real-world applications.
Retrieval-Augmented Generation systems for accurate, context-aware responses.
Multi-step autonomous agents that reason, plan, and execute complex tasks.
End-to-end automation pipelines connecting AI with business processes.
Building Model Context Protocol servers to extend AI with custom tools and data.
Cloud-native AI solutions with Microsoft Azure's ML and data platform.
Classical ML, computer vision, and NLP for predictive and classification tasks.
Robust ETL pipelines and data architectures powering AI at scale.
A strong technical foundation combining engineering and optics.
Leibniz Universität Hannover, Germany
Charotar University of Science and Technology, India
Deutsche Bahn Cargo Logistics GmbH, Mainz (Remote)
Emtec e.V, Berlin
Fraunhofer Institute IKTS, Arnstadt
Real-world applications built with cutting-edge AI technologies.
Automated Google Sheet management system with manual triggers and webhook support. Integrates OpenAI for intelligent data processing and dynamic sheet updates.
Conversational AI that ingests YouTube video transcripts and answers questions using Retrieval-Augmented Generation. Supports multi-video knowledge bases.
Fully offline chatbot for private documents using a local Ollama model. Zero data leaves your machine — complete privacy with full AI capability.
End-to-end Azure data pipeline for Olympic datasets — ingestion, cleaning, transformation, and ML-ready outputs with validated data accuracy.
Open to AI engineering roles, freelance projects, and interesting collaborations.