Professional Overview
PhD computer vision researcher (UVA). camera-independent depth estimation (WACV 2024), multimodal clinical disease prognosis models, few-shot sensor learning for activity recognition. PyTorch, Python, Slurm/AWS. Built and shipped real systems, not just benchmarks. Open to remote CV/ML roles.
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.
data science & analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.