Iβm an ML-focused engineer interested in building practical, end-to-end machine learning systems β from data preprocessing and model training to deployment and iteration.
I value strong fundamentals and care about how ML systems behave in real-world conditions: APIs, latency, imperfect data, and iteration.
- End-to-end ML pipelines
- Computer Vision (OpenCV + DL)
- NLP (sequence models, attention)
- Model evaluation & experiment tracking
- Containerized ML services & APIs
- Sudoku Solver β CV + DL system with API & Android integration
- Phishing Detection Pipeline β MLflow + Dockerized ML service
- Emotion Classification β BiLSTM + Attention
- Advent of Code β algorithmic problem solving (graphs, DP, backtracking)
(See pinned repositories.)
- ML Engineer
- AI Engineer
- Applied ML / ML Systems roles