Leading the product development of natural language video search across 500,000+ cameras, defining the roadmap, PRD, Design and GTM strategy - enabling users to search 72M+ hours of footage in plain English via semantic search with real-time relevance ranking.
Building a unified person timeline that automatically reconstructs a subject's movement across cameras into a chronological narrative, reducing incident review from multiple hours to <15 seconds - validated at 98% completeness and 95% homogeneity.
Launched a 0→1 BESS monitoring platform, conducting 30+ customer interviews and shaping the product vision and roadmap that delivered 15+ features in the MVP, driving adoption across 10+ utility clients managing $500M+ portfolio value.
Built and validated the business case for predictive reliability features, proving $5M in annual downtime savings through MVP/POC pilots, and securing $15M in contract renewals by aligning 12+ cross-functional stakeholders.
Translated consumer pain points into commercially viable solutions, improving system uptime by 40%, reducing response times by 60% (4h → 90m), and increasing retention by 25% while driving customer-centric value propositions.