Vetted Cursor (AI Code Editor) Professionals

“Software engineer with experience at Google and the City and County of San Francisco building production AI systems, including a RAG-based internal support chatbot and ML-driven ticket priority tagging. Has scaled data/ML platforms with Airflow on GCP (1M+ records/day, 99.9% SLA) and deployed multi-component systems with Docker and Kubernetes (GKE), using modern LLM tooling (LangChain/CrewAI, Claude/OpenAI, Pinecone/ChromaDB, Bedrock/Ollama).”

“Full-stack engineer with experience spanning Amazon IMDb and Northeastern’s NeuroJSON portal, combining consumer product work with complex scientific data applications. Built IMDb’s streaming providers feature—described as the company’s most impactful feature of 2023—and has hands-on experience with React/Angular, GraphQL, AWS, Python services, and production monitoring.”

“Design-technologist with both UX and front-end development depth, spanning high-impact brand launches and regulated pharma sales tools. Led the experience direction and technical implementation support for DuPont's Kevlar product site—featuring Three.js, AEM, and advanced motion design—which generated strong lead capture and won an Effie, and also improved Eli Lilly IVA delivery by building a grunt.js workflow that reduced update cycles from a week to just a few days.”

“Data/pipeline engineer with experience in space and scientific data systems, including JPL-related satellite transmission workflows and customer deployments involving NOAA/Argo standards. Stands out for building autonomous production pipelines, debugging subtle logic failures in data integrations, and improving processing efficiency while reducing manual operational work.”

Yoshi Tryba

Screened

Executive product leader specializing in SaaS, B2B2C, and AI-powered products

Boston, MA13y exp

“Product leader who has repeatedly rebuilt products and teams from the ground up, including turning around Ellevation's struggling Strategies product into a $20M ARR business line and building Trivelta's product and QA organizations from scratch. Also stands out for hands-on AI execution: personally built an LLM-powered incident detection tool that cut issue detection from hours to 30 minutes and then scaled AI adoption across PM and QA teams.”

“Full-stack engineer who built and owned a production real-estate search platform (advanced search + saved-search alerts) using Next.js App Router/TypeScript with a NestJS + Postgres + Elasticsearch/Kafka backend. Demonstrated strong performance engineering (map search FPS ~20→60, ~80% latency reduction) and backend scalability (optimized alert-matching queries and orchestrated notification workflows with Airflow/Redis), with measurable post-launch engagement gains (+27% returning users).”

“Product/design leader with experience at Indeed Flex, Buildertrend, and Google, including principal design work on an LLM-powered scheduling assistant for gig workforce management. Particularly strong in human-centered AI, using user research and analytics to improve conversational workflows, and in translating messy operational processes into clearer product experiences across multiple industries.”

“Software engineer with 5+ years of experience building and scaling high-traffic web systems, including e-commerce-style purchasing/reservation flows and broker back-office platforms. He has hands-on experience across Next.js front ends, Python integrations, Go load-testing tools, and MySQL/Redis-backed architectures, with notable exposure to financial reporting, MT5 integrations, and commission logic.”

“Startup operator with hands-on experience across GTM, product, strategy, and business development at multiple AI companies, including Overline AI, Vizops AI, and Audtiless AI. Built an outbound engine from scratch targeting SMB operators across fragmented industries, generating 60+ qualified opportunities and 5 design partners after identifying SMB AI automation as an underserved market.”

Melbourne Brown

Screened

Senior Software Engineer specializing in AI-driven cloud-native platforms

Atlanta, GA12y exp

“Engineer with unusual breadth: from a tiny startup building racehorse medical-record systems on credit-card chips for live racetrack demos to modern AI-powered contract intelligence platforms in production. Brings hands-on full-stack and backend depth across React, Python, .NET, PostgreSQL, Kubernetes, and Azure, with a track record of making complex, reliability-sensitive systems work in real-world conditions.”

Neil Gariepy

Screened

Executive technology leader specializing in AI, cloud operations, and information security

Portland, OR26y exp

“Veteran software engineering executive with ~20 years of experience who grew from hands-on IC and release engineer into VP leadership across AI, security, infrastructure, and platform engineering. Particularly compelling for senior platform or CTO-track roles: he combines board-level strategy with real technical depth, including architecting Airship's multi-agent generative AI platform, leading GDPR/security programs, and scaling NetSuite infrastructure to 99.99% uptime across six global data centers.”

“Healthcare data platform builder with experience at Aetion delivering a rule-based EMR/EHR ingestion and validation framework that cut onboarding from 8–10 weeks to hours and unlocked $30M+ in revenue over ~3 years. Motivated to found an AI/agent-driven healthcare solution, with a specific interest in using PET scans, doctor notes, and treatment data with LLMs to help predict cancer progression and guide next-step treatments.”

“AI/LLM engineer at Capital One who deployed a production RAG-powered fraud analysis and document intelligence platform using LangChain, OpenAI, Pinecone, Kafka, and AWS. Focused on reliability in real-time investigations via hybrid retrieval, schema-validated outputs, and LLM verification loops, reporting review-time reduction from hours to minutes and ~99% fraud detection precision.”