Engineering leader behind Uber's agentic AI transformation. Grew AI coding tool adoption from 0 to 4,600 users across a 7,000+ engineer org — 60% monthly active. Ten years building and shipping developer experience systems at scale: agentic platforms, CI, remote environments, onboarding, IDE tooling.
professional experience 10 years
major accomplishments Led end-to-end transformation of Uber’s SDLC to an agentic model — from tool evaluation and vendor strategy through infrastructure buildout to org-wide rollout across 7,000+ engineers. Redefined how engineering teams operate with agents handling migrations, refactors, and test generation autonomously Built and led cross-functional virtual teams across security, privacy, legal, finance, and engineering to clear the path for agentic tools at enterprise scale. Navigated compliance, cost governance, and risk considerations to secure organizational buy-in Drove Claude Code to mass adoption: 0 to 4,600 engineers (60% monthly active) with 50% productivity lift across power users. Extended reach beyond engineering to data scientists, ops, product managers, tax professionals, and up to CTO and CEO. Claude Code became the highest-adopted tool through hands-on rollout, training, and infrastructure investment Built adoption dashboard and drove the case for a dedicated AI dev analytics team to channel the right data on productivity, adoption, cost-per-engineer, and quality. Used data to steer strategy, justify investment, and report progress to leadership Made strategic tool selection decisions across Claude Code, Codex, and Cursor. Portfolio approach — evaluated fit against monorepo architecture, token economics, regulatory constraints, and developer workflow at scale Trained senior engineering leaders across mobile, backend, and testing on agentic workflows. Laid the foundation for domain-specific skills and opinionated expert agents backed by MCPs, making agents first-party to Uber’s toolchain. Partnered with Anthropic to run Claude Code demos org-wide work experience Sep 2017 – Present | San Francisco, CA
AI & Agentic Transformation (2024 – Present) Founded agentic containers: Devpods evolved for foreground agent work — engineers and agents operating in the same environment in real-time Designed agent inbox: unified lifecycle for agent-generated code from both background and foreground workflows. Human review before merge Launched Claude Code, Codex, and OpenCode across engineering with mixed-model configurations Founded Minions: CI-integrated agent platform for background tasks — migrations, refactors, test generation dispatched via Slack. Viral internal adoption Contributed to Autocover: agentic test generator that produced tens of thousands of lines of test code autonomously Coached e2e UI testing team through migration of testing workflows to agentic tooling Developer Experience & Platform (2017 – 2024) Maintainer of Android CI (Jenkins, Buildkite): containers, tests, static analysis, lint, app release. Reduced differential validation from 3 hours to 30 minutes Led Android Devpods: pre-configured container-based remote development environments Built onboarding framework for MacOS and Linux. Hermetic, reproducible dev environment scaffolding. Reduced onboarding from ~1hr to single command, p95 of 10 minutes Built rider and driver-facing features including late dispatch (used in airports) and driver earnings redesign education University of Waterloo | Bachelor of Applied Sciences, Electrical Engineering | 2017