Machine Learning Engineer focused on building reliable, scalable ML systems from research to production. I work across NLP, Computer Vision, and Reinforcement Learning, with particular interest in LLMs, Transformers, and model-based RL.
- Machine Learning Engineering & Applied ML Research
- NLP, LLMs, and Transformer architectures
- Reinforcement Learning and world models
- Taking ML systems from experimentation to production
Core: Python, C, SQL
ML/DL: PyTorch, TensorFlow, Scikit-learn, OpenCV, NumPy, Pandas
NLP: Hugging Face, LLM Fine-Tuning, RLHF, RAG
CV & Robotics: Computer Vision, Reinforcement Learning, ROS
MLOps & Deployment: Docker, Git, Weights & Biases, Linux, FastAPI, Flask