Pre-screened and vetted.
Mid-level Full-Stack Developer specializing in React, Node.js, and Flutter
Intern Full-Stack Software Engineer specializing in cloud deployment and data analytics
Mid-Level Software Engineer specializing in distributed microservices and cloud-native systems
Mid-level Full-Stack Software Engineer specializing in Java/Spring Boot, React, and AWS
Mid-level AI/ML Research Engineer specializing in NLP, LLM agents, and multimodal systems
Intern Full-Stack Developer specializing in React, Node.js, and TypeScript
Junior Full-Stack Software Engineer specializing in cloud-native microservices
Junior AI Engineer specializing in production RAG systems and GPU-accelerated inference
Junior Full-Stack Software Engineer specializing in logistics and IoT systems
Junior Java Full-Stack Developer specializing in healthcare web applications
Lead Unity Developer specializing in VR flight simulators
“Unity VR developer who built "instructor tools" for a skydiving/canopy training simulator, including comfort-focused wind/landing assessment features to reduce motion sickness. Implemented the simulator’s full Photon PUN networking and added Agora-based video streaming so instructors could run sessions with participants joining from browsers/tablets, while managing real-world latency constraints.”
Mid-Level Full-Stack Developer specializing in React, Next.js, and Ruby on Rails
“Senior frontend engineer who led the end-to-end build of ConvoCore’s AI agent stress-testing UI, handling non-deterministic AI outputs and high-frequency streaming logs. Emphasizes quality and scalability through schema-driven module contracts (Zod), shared hook/component libraries, and Playwright E2E tests, plus performance work like virtualization and code-splitting. Ships quickly with feature-flag rollouts, Sentry monitoring, and tight user-feedback loops (contextual bug reports with attached logs).”
Junior Full-Stack Software Developer specializing in PERN web applications
“Built and shipped a "Strangers Things" app from a messy prototype to a deployed Vercel product by running informal user tests and converting UX pain points (login friction, clunky messaging, session persistence) into targeted technical fixes. Also has teaching/demo experience, including adapting a Scratch coding workshop for young students, highlighting strong audience-aware communication and troubleshooting skills.”
Senior Full-Stack Software Developer specializing in React/Node and cloud-native apps
“Frontend engineer who launched Emoot (app.emoot.io) end-to-end and recently shipped the "My Savings Goal" feature from UI through production. Emphasizes scalable React + TypeScript architecture (Storybook-driven component library, strict typing, performance profiling/memoization) and pragmatic delivery in tight timelines by reusing existing components/logic and iterating screen-by-screen.”
Mid-Level Full-Stack Software Engineer specializing in Web3 and AI-enabled SaaS
“Frontend engineer who has led end-to-end builds across both Web3 gaming (Next.js app deployed on Telegram) and a sensitive, data-heavy mental health NGO dashboard. Experienced implementing scalable frontend architecture and strict code-quality workflows, plus shipping complex NFT/blockchain pipelines (AI generation → contract deployment → wallet/payment flows) validated on testnets with staged rollout and monitoring.”
Mid-level Full-Stack Developer specializing in MERN/MEAN and cloud-native web apps
“Frontend engineer with end-to-end ownership of React/Next.js products, focused on scalable component-based architecture and quality via CI/CD, automated testing, and disciplined PR reviews. Built React + TypeScript dashboards with role-based views using Zustand, and improved existing codebases by decoupling components and boosting performance through code splitting, lazy loading, and standardized shared components.”
Mid-level Full-Stack AI Engineer specializing in LLM systems and RAG
“Built and shipped a production "Campaign AI" multi-agent system (LangGraph) that personalizes B2B outbound emails at scale using Apollo.io prospect data, clustering-based segmentation, and 21 persona variants. Notably uncovered that high click rates were largely email security scanners and created a validated bot-detection/scoring pipeline (timestamps/IP/user-agent/click patterns), bringing reported engagement down from ~40% to a trusted 5–8% that aligned with real conversions.”
Senior Full-Stack Software Engineer specializing in AWS, TypeScript, and scalable microservices
“Frontend engineer who led the end-to-end UI for a virtual trivia/multiplayer game, including architecture (component-driven + design system), quality practices (TypeScript, linting/formatting, unit + E2E tests), and real-time synchronization for ~100 concurrent players using Pusher. Emphasizes pixel-perfect, mobile-first responsive delivery with Tailwind and design tokens, plus ongoing refactors for reusability and performance.”
Mid-Level Software Engineer specializing in Java/Spring microservices and cloud