Specializing in LLM-based systems, RAG pipelines, and autonomous agents. M.Sc. AI Engineering at JKU Linz. Available Onsite within Austria and globally for remote roles and freelance projects.
Autonomous AI data analyst using LangGraph ReAct architecture. Plans and executes multi-step data workflows, self-heals code errors, and generates structured PDF reports with visualizations via a live Streamlit interface.
Production-ready Retrieval-Augmented Generation system for querying private documents with citation-based responses. Full pipeline: ingestion, embedding, vector search, LLM generation. Dockerized with FastAPI and Streamlit.
Real-time license plate detection using YOLOv8. Achieved 98.4% mAP50 and 96.6% F1-score with ~3.5ms inference time on NVIDIA T4. Optimized pipeline for real-time deployment scenarios.
Multi-agent reinforcement learning environment for warehouse optimization under partial observability. Studied coordination strategies, reward shaping, and training stability across MARL algorithms.
Built a Python monitoring extension integrating real-time air quality data via the Open-Meteo API. Worked across distributed systems, cloud monitoring platforms, and performance analytics dashboards.
Maintained production IT systems in a large-scale industrial environment. Developed C# software components, managed Oracle databases with PL/SQL, and handled server and network infrastructure.
Designed and deployed backend systems using FastAPI, Django, and Flask. Delivered a Telegram currency rate bot, a live football data scraping pipeline, and a secure encrypted password manager application.
Available for remote roles and freelance projects in AI engineering, LLM systems, RAG pipelines, and Python backend development. Based in Linz, Austria — working globally.
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