Professional Overview
I build computer vision systems that work in the real world — not just in controlled demos. As a Computer Vision Engineer, I work on video analytics pipelines end-to-end: from camera input and inference to tracking, optimization, and deployment. My focus is on the hard part — making systems robust across different cameras, lighting condi
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
