Meta
Staff Technical AI Product Manager
Led product vision and roadmap for Meta AI Support Assistant and integrity decision systems serving users at internet scale.
AI Product Leader · Moving to Hyderabad in September 2026
I turn complex AI systems into dependable products at scale.
Across 12+ years at Meta, BlackRock, EY and JPMorgan Chase, I've transformed advances in AI into trusted products that improve customer experience, automate complex work and deliver measurable business impact.
Actively seeking senior product roles in Hyderabad
Work experience
Built across consumer technology and financial services.
My range helps me connect research, engineering, operations and commercial context—without losing sight of the customer.
BlackRock
Product Manager, Aladdin Risk Analytics
Turned quantitative risk models into portfolio analytics and scenario workflows for institutional investors.
EY
Data Analytics & AI Manager
Built AI products across regulatory reporting, trade surveillance, anomaly detection and enterprise knowledge graphs.
JPMorgan Chase
Consumer Banking Technology Analyst
Started in Hyderabad, improving reliability, telemetry and release execution for global consumer banking applications.
Work experience highlights
Products that move from technical possibility to measurable value.
Meta AI Support Assistant
Scaling trusted, AI-assisted support across Facebook and Instagram.
Defined the product vision, roadmap and phased rollout across retrieval, reasoning, orchestration, intent understanding and evaluation—expanding coverage from 30% to 80%+ while improving the quality of resolution.
AI Integrity Systems
Better decisions for 3.7B+ users.
Translated ML advances into scalable detection, classification and enforcement systems—reducing false-positive enforcement by approximately 90% and review costs by about $30M annually.
Enterprise AI & Analytics
From complex regulation to reliable workflows.
Built products spanning risk analytics, regulatory reporting, trade surveillance and knowledge graphs—reducing prospectus delivery failures by 98% and recovering $70M in revenue leakage.
What I bring
Product judgment grounded in technical depth.
I work at the intersection of customer problems, business outcomes and rapidly evolving AI capability—making ambiguity executable.
AI product strategy
I translate advances in LLMs, retrieval, reasoning and agentic workflows into clear product bets, phased roadmaps and measurable customer value.
Production AI systems
I design the full product system—not just the model—balancing quality, latency, cost, safety, reliability and operational complexity.
Evaluation & trust
I build evaluation into the product lifecycle through golden datasets, human review, LLM-as-judge, safety benchmarks, release gates and monitoring.
Cross-functional leadership
I align Engineering, Applied Science, Data Science, Design and Operations around customer outcomes and explicit technical tradeoffs.
How I work · Featured case
Building the system around the intelligence.
Meta AI Support Assistant reinforced a core product principle: the most sophisticated model is not automatically the best product.
Make ambiguity tractable
Decompose the experience into intent, trusted context, reasoning, action and fallback—giving each team a clear contract and every failure a diagnosable origin.
Resolve the real tradeoffs
Compare quality, latency, cost and complexity against journey-level outcomes; use deterministic logic where it is safer and models where they create differentiated value.
Earn the right to scale
Set explicit readiness gates, representative test sets and production monitoring, then expand exposure only when the capability and evidence support it.
Academic foundation
Carnegie Mellon University
Master of Information Systems Management · GPA 3.80
Engineering foundation
Osmania University
Bachelor's in Engineering, Information Technology · GPA 3.83