I lead cross-functional teams building GenAI data platforms, ML infrastructure, and reinforcement-learning environments — from portfolio strategy and market validation through launch, adoption, and revenue.

I shape product portfolios, translate customer and market signals into investment decisions, and create the operating clarity that lets engineering, data science, design, operations, and GTM teams execute together.
Context Four Gen AI product lines — Data Marketplace, DataCanvas, One Data, and RLEaaS — with no single owner sequencing where to invest next.
Decision Took ownership of product and engineering execution across all four, prioritizing by customer discovery friction and revenue potential.
Result Built the 1,000+ dataset marketplace from zero, cut discovery time 80%, and drove multimillion-dollar revenue growth.
Context The product catalog already existed, but the sales process was entirely manual — customers had little visibility into solutions Centific already had.
Decision Built a self-service marketplace instead of scaling the manual sales motion further.
Result 1,000+ datasets live, discovery time cut 80%, multimillion-dollar revenue growth.
Context Demand forecasting was a manual, offline process — data scientists generating reports on their own machines.
Decision Led the build of an end-to-end ML forecasting platform as founding PM.
Result Became a critical capability for a business generating $11.15B in annual revenue, lifting prediction accuracy 50%.
Own product and engineering execution across four of Centific's Gen AI product lines — Data Marketplace, DataCanvas, One Data, and RLEaaS. Built the 1,000+ dataset marketplace from zero, cutting discovery time 80% and driving multimillion-dollar revenue growth; also built RLEaaS (RL Environments-as-a-Service), the platform and self-guided onboarding flow for standing up a reinforcement-learning environment.
Lead product strategy for a live subscription marketplace connecting specialist “wizards” with customers. Own the product vision, platform evolution, customer experience, technology direction, and board alignment; translate real-user behavior into roadmap and growth priorities.
As founding PM, took demand forecasting off data scientists' local machines and into a production ML platform — time-series, on-demand, and SKU-level forecasting supporting a business generating $11.15B in annual revenue, lifting prediction accuracy 50%.
Took carrier onboarding from 30 days to under a week via self-service tooling and ML fraud detection — worth $15M–$30M a year — while launching AI tools on Amazon Connect that cut employee support calls 30% and wait times 75%.
Led cloud-migration strategy for enterprise AWS customers — including building the microservice deployment automation for a major bank's e-commerce platform and the build-and-deploy strategy for a national retail chain's website — cutting operational cost 60% while hiring and mentoring a team of Solution Architects.
Coached product managers on scaling Agile and Scrum-of-Scrums, and led DevOps transformation for enterprise delivery platforms across marketing, payments, and finance teams — an Agile/DevOps transformation with $50M+ in measurable impact, and the pivot from engineer to coach that set up everything since.
A roadmap is really just the highest-confidence bets you can make with limited information — you only learn the full story once you see what the user actually experienced.
I wrote my first program at 13 — a C program doing mathematic calculation — and decided right there I'd be a builder. That throughline runs from Systems Development in Hyderabad to Product Management at Centific today: find the problem a team has normalized, then build the platform that makes it disappear.
Service engineering at Microsoft, cloud architecture at AWS, coaching Agile adoption at T-Mobile — that engineering foundation is why the products I lead get built right, not just shipped fast. The harder shift came later: learning the job isn't being the person who delivers the most, it's being the multiplier who lets a team accomplish more than I ever could alone.
Exploring the frontiers of AI, creativity, and human potential — creating what doesn't exist yet.
That range shows up outside product too — years on runway showsAdd your runway field note here, behind a cameraAdd your photography field note here, building communitiesAdd your hiking field note here. Different disciplines, same instinct: notice what others overlook, then create something that connects.
Let's talk product, Gen AI, or your next data strategy.