Experience
Professional experience and career history
Roles
Building real-time computer vision products and ML pipelines, while driving engineering practices for a startup transitioning from pre-product to production.
Led ML strategy at a seed-stage startup, building pipelines, evaluating build-vs-buy decisions, and developing full-stack prototypes.
Designed and built ML-driven data streaming solutions, wearing multiple hats across engineering, product, and customer-facing roles.
Technical lead for Data Science at an early-stage health-tech startup, shaping engineering practices and building computer vision pipelines for pathology.
Led development of production-grade computer vision for computational pathology, from algorithm design through to scalable deployment.
Built Arduino-based CubeSat prototypes implementing university research on self-managing autonomous systems.
Improved Bing auto-suggest across all platforms through code optimization, big data analysis, and interactive dashboards.
Built an NLP-powered system that generated graph databases from semantic analysis of web content.