Machine Learning / Computer Vision Engineer
I build computer-vision and ML systems across the full path from modelling and evaluation to data workflows, serving, and edge deployment.
My recent work focuses on:
- computer vision and representation learning
- embeddings, retrieval, and evaluation
- model compression and edge/on-device inference
- practical ML tooling, APIs, and deployment
Full-stack depth-estimation application built with PyTorch, FastAPI, React, Docker, and Nginx.
End-to-end object-detection project covering YOLOv5 fine-tuning on KITTI, validation, export, and Android integration.
Cross-platform local speech-to-text desktop tool with GPU/Apple Silicon acceleration, tests, CI, and platform-specific desktop integration.
Python 路 PyTorch 路 OpenCV 路 FastAPI 路 Docker 路 ONNX 路 TensorFlow Lite 路 NumPy 路 Pandas