My complete journey - achievements, milestones, and career highlights
Leading the infrastructure work behind production agents, from evaluation and deployment to observability and day-to-day operation.
Published agent-session-bridge, a local-first tool that moves live coding-agent sessions between Claude Code, Codex, and Hermes: one intermediate representation, pre-write dry runs that disclose every lossy conversion, a Textual TUI, and an agent skill so agents can hand off their own sessions.
Promoted to Senior Machine Learning Engineer at Fetch, working on the AI Shopping Assistant with a focus on the evaluation systems and architecture it builds on.
AI Shopping Assistant scaled to a 200K-user experiment on iOS through the V2.1 holdout, with product cards, web search, and a self-improving LLM evaluation system with CI/CD deploy gating.
Published diskard, an open-source Rust CLI/TUI for developer-aware disk cleanup with 18 recognizers covering build caches, AI models, package managers, and IDE artifacts.
Released Lazyflow, a free, open-source iOS app for AI-powered task management with Apple Calendar integration, time blocking, and smart task recommendations. Available on iPhone, iPad, and Apple Watch.
Shipped multimodal AI Shopping Assistant to 10K+ external users (iOS/Android) in production alpha, enabling natural language product discovery and purchase optimization through production multi-agent system.
Deployed async matching framework with LLM-as-a-Judge achieving 15% full automation, improving match rates by 3.1-3.3 percentage points and unlocking $165M in GMV.
Became part of AI Labs tiger team, leading AI innovation, automation, and LLM enablement initiatives across the organization.
Started as Machine Learning Engineer in Seattle, WA, building production AI systems and multi-agent workflows.
Graduated from University of Alabama in Huntsville with perfect 4.0 GPA and inducted into Phi Kappa Phi Honor Society.
Won third place in the competitive Graduate Poster Session, showcasing innovative research in machine learning applications.
Appointed as Teaching Assistant for the AI Fellowship program in Latin America, mentoring 50+ students in Data Science.
Started position as Graduate Research Assistant at NASA's Interagency Implementation and Advanced Concepts Team.
Started as Machine Learning Engineer in New York City, developing production ML systems for fashion retail, including sales forecasting, recommendation systems, and computer vision solutions.