Experience

Backend and ML infrastructure for automated code review.

• Developing backend and ML infrastructure for Binks, Shopify's agent-scale automated code reviewer, using Python, Go, and Rust, to improve engineering throughput and code-review scalability
• Reduced code-review cost by ~15% by eliminating redundant analysis and model invocations while preserving review quality
• Implemented a caching and deduplication layer for repeated code-analysis requests, reducing median review latency by ~12%, aiming for a 20% eventual latency reduction

Bellevue, WA

Agent evaluation and API routing verification.

• Built automated verification systems for IBM Watson Orchestrate to evaluate collaborator-agent accuracy across 100+ enterprise workflow scenarios, achieving <200 ms validation latency
• Hardened tool routing and external API execution, increasing end-to-end success rate by ~5%
• Built scalable test infrastructure for autonomous workflows supporting 10,000+ daily agent invocations

San Jose, CA

Embryo segmentation with deep learning.

• Engineered ML pipelines to process ~500,000 microscopy frames for embryo segmentation and computer-vision analysis
• Improved segmentation beyond a 95% accuracy baseline through model optimization and analysis of computer-vision failures

Los Angeles, CA

Social-media automation and full-stack development.

• Built a social-media automation platform using transformer and scikit-learn models to score post sentiment, increasing post engagement by ~40%
• Developed React components and Node.js APIs for a scheduling dashboard, improving workflow productivity by ~20%
• Containerized inference services with Docker and built GitHub Actions CI/CD pipelines for automated testing and deployment

San Francisco, CA