Meta
Engineering at scale across full-stack product, machine learning, and generative-AI pipeline work. Public-safe summary — internal project names and metrics stay internal.
Engineering at scale across full-stack product, machine learning, and generative-AI pipeline work. Public-safe summary — internal project names and metrics stay internal.
A research-engineering background spanning UI generation (Sketch2Code), UAV tracking, and healthcare-adjacent ML — surfaced selectively; full case studies to come.
Where I'm heading in embodied AI: an open-source spatial-memory layer for AI agents — persistent, queryable maps of physical space, so an agent that has seen a room can reason about it the way a body remembers one. Early-stage and unshipped — a problem being framed, not a product.