Vetted Cursor (AI Code Editor) Professionals

“Full-stack engineer who built WordCon, an AI-powered vocabulary learning platform, end-to-end across React/Next.js, Python, AWS, and GenAI services. Particularly strong at turning ambiguous AI product ideas into structured, scalable systems by combining deterministic learning logic with LLM-powered personalization, and has additional experience modernizing legacy PHP systems into React/Node architectures.”

“Full-stack and AI product engineer with strong accessibility and voice-interface experience in senior living, building systems for older adults where trust and usability are critical. Has shipped React/TypeScript and .NET MAUI products, productionized Azure OpenAI features, built RAG-based research tools, and improved both product outcomes and technical performance with measurable impact.”

“Early-career full-stack developer who has built and deployed learning projects including a school system dashboard with role-based access and a Node/Express message board, then applied that experience to a real restaurant analytics dashboard in development. Uses AI-assisted tools like Cursor to accelerate coding while manually reviewing outputs, and has hands-on experience debugging frontend/backend issues and validating API inputs.”

“Full-stack engineer with experience building a NASA-funded simulation management platform using React, TypeScript, Next.js, PostgreSQL, AWS, and Docker. Stands out for owning complex, long-running workflow features end to end in production and driving measurable performance improvements, including a 40% database load reduction and API latency improvements from roughly 500ms to under 200ms through Redis caching and async architecture.”

“Full-stack engineer with experience building healthcare scheduling, telehealth, reimbursement, and agent workflow systems using React, Node.js, MySQL, TypeScript, and GraphQL. Stands out for combining hands-on product design in ambiguous environments with measurable technical impact, including a 40% performance improvement and reduced LLM costs through batching and backend optimization. Also brings manufacturing/MES experience and a strong habit of reshaping products based on direct user feedback.”