Vetted Cursor (AI Code Editor) 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.”

“Engineering leader who drove Lightroom Mobile’s roadmap at Adobe by enforcing reuse of Photoshop imaging tech to deliver RAW, non-destructive mobile editing with full Creative Cloud compatibility. In startup environments, has repeatedly scaled and professionalized engineering orgs (career ladders, evaluation systems, delivery process) and led high-stakes cloud/platform transformations—migrating off Heroku and consolidating fragmented AWS/GCP usage into a single GCP platform—improving reliability, deploy speed, and cutting cloud costs by 20%+.”

Danny Anop

Screened

Senior Full-Stack Engineer specializing in SaaS, e-commerce, and frontend platforms

Bellevue, WA10y exp

“Frontend-leaning full-stack engineer who has built a multi-tenant AI-powered widget and admin dashboard platform used across 40+ merchant websites. Strong in TypeScript/Next.js/GraphQL systems design, reusable platform primitives, and cross-layer debugging, with a clear track record of shipping scalable product experiences under ambiguity.”

“Early-stage investor/sourcer with experience at Insight Partners and M13 who combines thesis-driven outbound with deep ecosystem presence to generate proprietary founder relationships. Particularly strong in generative AI, creative tooling, and commerce tech, with added credibility from Gold House Ventures fellowship, angel investing communities, and a fractional fundraising advisory practice that has helped founders close rounds.”

“Payments infrastructure engineer with experience at Stripe and Amazon, focused on building high-scale backend systems for checkout, routing, fraud, FX, and partner onboarding. Stands out for combining startup-style execution with enterprise-scale reliability, including a 25% reduction in payment flow errors and onboarding improvements from weeks to days.”

“Software engineer with a rare mix of early startup product-building and large-scale enterprise data platform work. At a 40-person digital signage startup, they wrote much of the customer-facing software, and later at Qualtrics built Go and Python ETLs, internal configuration tools, and B2B data products supporting survey analytics and custom data science workflows.”

“Backend/full-stack engineer with experience building large-scale systems on Salesforce and eBay, including a sharded Oracle-backed personalization store used by millions of sellers and a Spring Boot microservice that executes scheduled payouts at high volume. Emphasizes production readiness via state-machine-based idempotency, strong observability (Splunk/Elasticsearch/PagerDuty), and extensive Selenium/Sauce Labs automation.”

“Product leader at Intuit/QuickBooks Workforce who built an AI-powered conversational agent for payroll and time entry, a high-stakes workflow where mistakes directly affect whether workers get paid correctly. Stands out for combining multimodal AI, RAG, and human-in-the-loop confirmation with strong UX judgment, delivering measurable outcomes including a 60% drop in worker complaints and a 30% faster path to action.”