Jan 2025 – Jan 2026 · 1 yr · San Francisco Bay Area

• Accelerating an AI ecosystem for everyone. Help KiteAI with Management and AI/Data infrastructure advisory.

Jan 2024 – Oct 2024 · 9 mos · Remote

• Bridging Languages, Hardware, and People.
• I led Ibis OSS Engineering team and Streaming Data Movement Engine team for a more modular and composable data AI/Analytics ecosystem.

Jun 2023 – Nov 2023 · 5 mos · San Francisco Bay Area · Hybrid

• Startup business advisor for execution, team building, PMF, etc.

Sep 2021 – Jan 2024 · 2 yrs 4 mos · San Francisco Bay Area · Hybrid

• (Acquired by Voltron Data in Jan 2024)
• At Claypot, we built MLOps products, including real-time model performance monitoring and a real-time feature engineering platform.
• My role as CTO of the early-stage startup includes product strategy, product engineering architecture and execution, product market validation, solution engineering, team leadership and partnership strategy.
• https://www.forbes.com/sites/adrianbridgwater/2024/01/25/voltron-claypot-deal-cooks-up-faster-ai-engine-power/

Jan 2021 – Nov 2021 · 10 mos

• I led Stream Processing Platform Team. We manage a fully managed Apache Flink Analytical Stream Processing platform and Mantis (Netflix OSS) Operational Stream processing platform to provide high leverage real-time data solutions for all organizations in Netflix.
• Grew an exceptionally strong 10-person team.
• Expanded use case coverage to analytical, operational, and ML across all Eng organizations in Netflix.
• Stabilized operations and re-focused the team with a cohesive vision between Flink and Mantis products.
• Netflix is a data-driven company, handling trillions of events per day to answer many application and business related questions. At the center of providing scalable solutions to these challenges is the Netflix Real Time Data Infrastructure team.

Oct 2019 – Jan 2021 · 1 yr 3 mos

• I led Flink Stream Processing Team (within Real-time Data Infrastructure).
• Scaled Flink platform to more than 20T processed events per day.
• Scaled to thousands of stateless use cases and dozens of high-value stateful use cases across all engineering organizations in Netflix, covering analytical and ML workloads.
• Grew an exceptionally strong 6-person team.

Apr 2015 – Sep 2019 · 4 yrs 5 mos

• Built Netflix Real-time Data Pipeline Infrastructure that processes ~1+ trillion events a day, and 10 million per second during peak.
• Built Stream Processing as a Service platform to unlock data value in real-time.

Oct 2012 – Apr 2015 · 2 yrs 6 mos · Redmond, WA

• Worked on Windows Azure Fabric Controller - kernel of Microsoft cloud platform.
• Tech lead for below major areas:
• Responsible for hyper scale cloud infrastructure management service.
• Fault tolerating system design. Ensure tenant availability SLA over 99.95%.
• Tenant service recovery/healing systems.
• Scale up/out large system design and planning.
• Layered microservice architectural redesign for new generation of Fabric Controller system.
• Managed over 500,000 servers and growing in production.
• etc.

Dec 2007 – Oct 2012 · 4 yrs 10 mos · Redmond, WA

• From the ground up, designed, lead, implemented, shipped and maintained two generations of highly scalable, reliable, distributed Video Workflow processing system etc. The WF system is one of the most vital parts of the entire MSN Video backend infrastructure, allowed our team to move quickly on implementing new features and move onto different devices; Managed to maintain 97%+ SLA for all partners;
• Built and maintained backend content delivery infrastructure;
• Built a flighting (experimentation) solution, built mathematical models on data driven feature and was proven to be successful.
• Designed, implemented numerous data warehouse and analytic cube systems to support both BI and production troubleshooting.

Jan 2006 – Dec 2007 · 1 yr 11 mos · Madison, Wisconsin Area

May 2005 – Dec 2005 · 7 mos · Portland, Oregon Area

• Custom VoIP technology with Microsoft technology ecosystem.