I’m Martin - a Machine Learning Engineer building intelligent systems end-to-end.
Currently focused on:
- Reinforcement Learning (implementing Policy Iteration, Value Iteration, SARSA, and Q-Learning from scratch). Code
- MLOps and production-ready ML systems.
- LLM applications.
- Applied AI engineering with FastAPI, Docker, and scalable deployment patterns.
Recently:
- Implemented full RL pipelines on environments like FrozenLake and custom GridWorlds.
- Explored applied RL in Deep Learning.
- Researched the Effectiveness of Singing Voice Timbre Transfer for Automatic Music Transcription. Thesis
Stack: Python, PyTorch, FastAPI, Docker, SQLAlchemy, LangChain, Spark, Vertex AI, and distributed ML tooling.
Always experimenting. Always building.
