Vetted Cursor (AI Code Editor) Professionals

Gabe Hoing

Screened

Intern-level software engineer specializing in full-stack and data systems

Spokane, WA2y exp

“Built an AI agent management system in a senior design project to support cybersecurity analysts with gathering and triaging emerging threat intelligence from sources like CISA. Stands out for a thoughtful, production-minded approach to AI development, using specialized agents, strict output schemas, and deterministic controls to manage failure cases.”

Muhammad Usman

Screened

Mid-level Full-Stack Engineer specializing in SaaS, AI, and Healthcare IT

Gulberg, Pakistan6y exp

“Fullstack engineer with roughly 3 years of experience who has independently built customer-facing systems in healthcare, including invoice notification infrastructure, nurse speech-to-text documentation, and a voice agent/chatbot workflow. Particularly interesting for teams needing hands-on builders who can ship end-to-end products with reliability features, real-time communication flows, and direct user-informed design.”

Mahad Asif

Screened ReferencesModerate rec.

Mid-level Game Developer specializing in Unity, AR/VR, and cross-platform products

Rawalpindi, Pakistan4y exp

“Exceptionally young game developer who says he began at age 10 and was employed as a Unity developer at 13. He has hands-on experience building gameplay systems, VR/Web/mobile projects, Photon multiplayer features, and AI/ML experiments—including an open-source protein-model research pipeline reportedly under peer review at PLOS ONE.”

Bay Sukh

Screened

Mid-level Full-Stack Developer specializing in Java/Spring and modern web SPAs

Remote6y exp

“Full-stack Java/Spring Boot + SPA (Angular/React) engineer who has delivered products end-to-end, including a financial management portal for SMBs and a high-traffic golf/hotel reservation platform. Notably migrated a manually deployed system to AWS (EC2/RDS/S3/CloudFront) with Jenkins CI/CD and has hands-on React performance optimization experience for LG webOS TV apps.”

“Full-stack engineer who built an end-to-end healthcare logistics application on a Microsoft services stack, delivering Spring Boot microservices and a responsive React frontend. Strong focus on production concerns—API performance tuning (indexing/caching/pagination) and microservice reliability (timeouts/retries/circuit breakers)—with Dockerized deployments and standardized Jenkins CI/CD.”

mehrnoosh zavar mousavi

Screened

Mid-level Frontend Developer specializing in React, Next.js, and TypeScript

Calgary, AB6y exp

“Frontend-focused developer who built a chess web product end-to-end (including an admin panel) using Next.js with SSR. Emphasizes reusable component architecture, performance optimization (bundle-size reduction, lazy loading), and quality practices like Lighthouse audits and Playwright E2E testing, with hands-on experience handling Next.js hydration pitfalls.”

“Software engineer actively using AI-first development workflows, including Cursor, prompt engineering, and multi-agent setups, to dramatically compress development time. Most notably, they say they built a Regression Optimizer product end-to-end from scratch and used multi-agent approaches to improve troubleshooting and response quality.”

“Software engineer using AI heavily in day-to-day development, especially for cross-platform packaging and Bash-heavy workflows. Built a feature to package a Node.js app into Windows and Linux installers/executables, and has hands-on experience validating LLM-generated database reporting through prompt evals and code review.”

Aldrin Azucena

Screened

Mid-level Full-Stack Software Developer specializing in web apps, CI/CD, and cloud infrastructure

Lethbridge, Alberta, Canada4y exp

“Frontend engineer (~4 years) who led an admin dashboard for potato farmers end-to-end, integrating real-time and historical weather data to drive disease-severity predictions. Built scientifically validated calculation pipelines (FAO Penman-Monteith, late blight models), rigorous Cypress/unit testing, and print/PDF-ready reporting, while optimizing performance and API load with debouncing, caching, and feature-flagged rollouts.”