Vetted WebSockets Professionals

“Full-stack developer who has built both operational software for universities and an AI-assisted publishing platform called HeartThreads. Notably implemented a multi-LLM fallback architecture using Ollama, OpenAI, and Claude to keep AI story-generation features available in production.”

“Frontend engineer focused on scalable React + TypeScript architecture and design-system style reusability, with demonstrated refactoring impact in legacy codebases. Delivered a high-visibility, filterable “Project Showcase” feature in 3 weeks (CMS-integrated, responsive, CI/unit-tested) and has implemented real-time UI updates via WebSockets for chat profile presence.”

Tanushree Kakad

Screened

Intern Software Engineer specializing in AI, computer vision, and VR

Remote0y exp

“Robotics software engineer with hands-on experience integrating vision-based perception with control logic in ROS simulation environments. Focused on debugging real-time timing/data-flow issues, improving system stability through incremental scenario testing in Gazebo, and supporting reliable deployments with Docker and basic CI/CD automation.”

“Full-stack engineer with hands-on experience building both a TypeScript LMS and a production-ready real-time chat platform using Phoenix/Elixir, Supabase/PostgreSQL, and React Native. Stands out for owning systems end to end in production, including payments, WebSockets, clustering, migrations, caching, and media architecture across distributed deployments.”

Andrew Douangprachanh

Screened

Entry-level Full-Stack Software Engineer specializing in web and real-time applications

Colorado Springs, CO2y exp

“Frontend-focused developer who built Brick-Verse, a React/TypeScript CRUD app combining Spring Boot, Spring Security, JWT auth, PostgreSQL, and the Rebrickable API. Stands out for handling multi-source data flow, protected user features like favorites, and practical React performance and responsive CSS challenges in a production-style project.”

“Built AI-powered features for a learning management system, including file-to-quiz generation with Gemini, strong validation/security controls, and teacher review workflows for contested AI grading. Stands out for combining full-stack product delivery with practical LLM safety measures like prompt-injection prevention, structured output validation, sanitization, and rate limiting.”