Vetted A/B Testing Professionals

Stephen Koo

Screened

Senior Software Engineer specializing in LLM infrastructure and AI inference platforms

New York, NY8y exp

“Google Workspace AI engineer who owned major AI assistant infrastructure end-to-end: React/TypeScript UI, a Node.js context-aggregation gateway on Cloud Run, and a Go inference layer on GKE serving Gemini. Built and productionized Gmail RAG + agentic workflows with rigorous evals and guardrails, and has a strong track record of measurable impact (latency, engagement, acceptance-rate lifts) and zero-incident migrations using feature flags/strangler patterns across multiple ML teams.”

“Backend/data engineer with experience on large-scale consumer platforms (Google and Meta), building high-traffic Python microservices (REST/gRPC) on Kubernetes with strong reliability/observability practices. Delivered AWS container-based deployments with CI/CD and IaC, and built AWS Glue ETL pipelines on S3 with schema evolution and data quality controls; also has demonstrated SQL tuning impact (15% latency reduction) and incident ownership for batch pipelines.”

Kaiqi Zhang

Screened

Senior Full-Stack Engineer specializing in cloud-native SaaS and AI applications

Bellevue, WA13y exp

“ML/LLM engineer with hands-on experience shipping production RAG systems at Google Clinical Search and GenAI recommendation/summarization features in Meta Ads. Stands out for combining research-to-production execution with rigorous grounding, evaluation, safety checks, and reusable Python platform components that improved both reliability and team velocity.”

“Game engineer with hands-on experience shipping systems for Horizon Worlds, including a notification platform that unlocked friending, invites, and achievement/prize UX. Also brings applied LLM gameplay experimentation, multiplayer networking/debugging expertise, and cross-platform VR/mobile experience spanning Meta Quest and Android.”

“18-year Google veteran who managed and grew top customer investments, including Rocket Mortgage’s Google Search program—scaling spend from ~$60M/year to $170M/year. Led adoption of ROAS bidding and broad match through rigorous experimentation and forecasting, driving an additional $14.5M spend in 1H 2024 despite a challenging mortgage market.”