Chinmay Parekh

About Chinmay Parekh

At Roku, I lead a 50-person engineering organization that powers a $2B AdTech ecosystem. We process 200TB of data daily for 90M households—a scale where \"good enough\" isn\'t an option. Over the past two years, I’ve pivoted our strategy from data-first to AI-native, fundamentally changing our operational cost structure.What I’ve delivered recently:* Zero-to-One GenAI: Architected Roku’s enterprise AI platform, now automating 40+ workflows and saving 1,200+ manual hours every month for employees.* Production-Grade AI: Shipped high-stakes systems for brand safety and automated testing. These aren\'t pilots; they are production engines generating measurable ROI.* Global Scaling: Built Roku\'s first international engineering hubs and partnered with the C-suite on platform investments that directly enabled a 5× revenue surge.My focus is the intersection of AI transformation, high-performance systems, and organizational design. I’m interested in solving ambitious platform challenges where technology strategy is the primary driver of business results.Work Authorization: U.S. Citizen

Experience

1. Senior Engineering Manager Leading Genai Initiatives in Adtech

   Roku

   Jul 2023 — Present · San Jose, CA, US

   Leading 50-engineer organization across Data Management Platform, Identity Graph, Business Automation, and GenAI platforms supporting Roku\'s $2B advertising business. Managing $13M annual P&L across infrastructure and tooling- Built enterprise GenAI platform serving employees with 38% adoption, delivering production systems for creative classification, support automation, and test triage- Scaled identity infrastructure processing 200TB/day for 90M households, supporting business growth from $400M to $2B in ad revenue- Restructured organization into domain-aligned teams, reducing cross-team dependencies by 40% and accelerating platform delivery- Grew team from 14 to 50 engineers across US, UK, and India locations while maintaining sub-7% attrition- Negotiated infrastructure contracts reducing annual spend by $2.8M while improving performance and reliability

Education

• The University of Texas at Dallas

  M.S, Computer Science

• Stanford University

  Graduate certificate , Computer Science

• Veermata Jijabai Technological Institute (VJTI)

  BE, Electrical Engineering