As Tech Lead for Search and IP licensing, I drive large-scale initiatives spanning semantic retrieval, infrastructure, and IP licensing platform. My work combines applied ML with platform engineering to help millions of creators discover, organize, and responsibly use content.
IP Licensing Platform — Designed scalable ML pipelines for IP content evaluation, focused on improving precision/recall and aligning infra, product, and legal stakeholders to establish a foundation for licensing at scale.
•Designed and deployed Temporal-based indexing and orchestration for IP scanning, establishing a scalable, fault-tolerant workflow powering future content indexing systems.
Semantic Search (Vector-based) — Launched multiple iterations of semantic search at platform scale:
•Models: +2.5% adoption, +9% unique assets adopted
•Meshparts: +17.2% insertion rate; Decals: +7% insertion rate
•Private inventory: +5.5% adoption
Search Infrastructure — Led multi-quarter re-architecture of Roblox’s search stack across 5+ teams. Reduced p75 latency by up to 78% (~175–210ms faster), cut operational cost by collapsing 15+ services into 3, and boosted experimentation velocity 4× (from quarterly to weekly).
Scale & Efficiency — Scaled search systems to support 160M+ assets while reducing ML pipeline costs by 10× and doubling processing speed.
Leadership & Mentorship — Managed and mentored interns and new grads, led cross-org initiatives, and served as incident commander during SEV0/SEV1 events impacting company-wide systems.
