Program and Quality Leader with 14+ years of experience delivering high-impact, cross-functional programs at Uber and high-growth analytics firms. Proven track record in building scalable HITL systems to accelerate product quality, drive GenAI transformation, and launch multi-million-dollar cost-saving initiatives across Maps, Earner, Rider, and Support verticals. Currently leading Uber’s GenAI-powered QA platform (QAi), integrating AI-agentic workflows with engineering systems to reduce manual QA effort by 50%. Expert in orchestrating technical, operational, and product teams to deliver sustainable impact, operational scale, and quality excellence.
GenAI for QA: Founded Uber’s first GenAI QA platform (QAi) to automate and scale QA workflow through intelligent agentic systems, aiming to cut QA effort by 50% across central QA at Uber saving close to $1.5M in annualized costs.
Test Coverage Platform: Re-designed Manual Test coverage framework to enable effective measurement of Test coverage by implementing the ACC (Attributes, Components & Capabilities) framework and reduce defects leaked to end consumers (Riders and Earners).
Engagement Manager: Led Engagement strategy for running efficient scaling programs with 150+ Program managers.
Maps Data Curation Programs: Led 3 program managers and 300+ operators, running HITL Data programs to build cost effective and fresh Maps data for Uber. Liaised with Product and Engineering teams ensuring end-to-end delivery of products while contributing to future product roadmaps.
Community Operations: Managed team of Community managers, data analysts, and operators focused on improving post-trip Customer Experience.
Gen AI:
Program Leadership
Quality Strategy
Analytics and Data
Domain and industry experience
Permanent Resident
University Of Alberta, Edmonton, AB, B. Tech Summer Intern, 05/10, 07/10, Studied Effect of High-pressure treatment on purified native starches by via Resistant starch and DSC analysis on pressure treated samples.