Pre-screened and vetted.
Entry-level Full-Stack Software Developer specializing in web applications
Mid-level Applied AI Engineer specializing in LLM systems for EdTech and FinTech
Senior Unity/XR Developer specializing in games, VR training, and real-time interactive systems
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 Engineer specializing in SaaS, AI, and Healthcare IT
“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.”
Junior Full-Stack Engineer specializing in AI-powered web applications
“Full-stack product engineer who has shipped AI-powered job board moderation and validation features end to end across React/TypeScript, serverless backends, and Postgres. Stands out for combining UX polish, LLM-backed workflow design, and reusable async infrastructure patterns to improve reliability, speed of delivery, and user participation.”
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.”
Mid-Level Frontend/Full-Stack Developer specializing in React and government & healthcare web apps
Junior Full-Stack Software Engineer specializing in web development and game QA
Intern Full-Stack Engineer specializing in web applications and systems programming
Mid-Level .NET Software Engineer specializing in backend APIs, Azure, and SQL Server
Mid-level Full-Stack Developer specializing in MERN web applications
Mid-level Full-Stack Developer specializing in React, Node.js, and cloud deployment
“Frontend engineer with experience building enterprise ERP/CRM dashboards in React + TypeScript, including cron-driven data updates and differentiated state flows. Emphasizes CI/CD pipeline setup, performance optimization (Core Web Vitals, React Profiler), and disciplined delivery practices (risk-based QA, phased rollouts); also has Figma-to-responsive implementation experience.”
Mid-level Full-Stack Developer specializing in Java/Spring and modern web SPAs
“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.”
Entry-level Software Engineer specializing in backend and full-stack systems
“Built production-style backend and AI systems across internship and project work, including a real-time sports platform backend and a Smart Email Assistant using GPT-4. Stands out for combining classic backend performance engineering with practical LLM workflow design, including measurable latency improvements, high uptime, and debugging of non-deterministic model behavior.”
Junior Software Engineer specializing in backend systems and AI infrastructure
“Built both a full-stack AWS file-processing pipeline and a production AI document Q&A system ('smart-doc'). Stands out for combining strong cloud engineering with practical LLM/RAG architecture, including hybrid retrieval, reranking, structured outputs, confidence-based retries, and production monitoring.”
Mid-level Full-Stack Web Developer specializing in React, Next.js, and Node.js
“Front-end engineer focused on sophisticated browser-based search and reading experiences, including AI-generated summaries and multi-state content interfaces. Demonstrates strong practical skill in React-style component architecture, Figma-accurate implementation, and deep browser/CSS debugging to make complex UIs polished, maintainable, and usable.”
Mid-level Full-Stack Engineer specializing in scalable web applications
“Frontend-leaning full-stack engineer with hands-on experience building React/TypeScript applications backed by Node.js and GraphQL services. They highlighted a quiz-game product with complex frontend synchronization and an e-commerce optimization effort that raised homepage performance to roughly 90% in Lighthouse, while also creating reusable components and shared services to improve team velocity.”
Mid-Level Front-End React Developer specializing in dashboards and real-time web apps
“Frontend engineer who helped build a desktop-as-a-service product from scratch and has delivered complex React + TypeScript workflows (including multi-stage approvals). Notable for performance-focused refactoring (removing unnecessary memoization), building reusable component patterns, and leading a major shift from hard-coded forms to a configurable form-builder with strong dev/QA collaboration and heavy scenario testing.”
Entry-level Software Engineer specializing in backend and AI integration
“Built and shipped an LLM-powered crypto price tracking and alert agent in a web environment that scaled to roughly 10,000 users. The candidate emphasizes production reliability, structured outputs, and data normalization, and cites strong product impact including retention growth from 35% to 65% and roughly 95% positive user validation on alert interpretations.”
Junior Software Engineer specializing in full-stack web and AI applications
“Early-career backend developer building an Arc Raiders game-data API end-to-end in Go on AWS with PostgreSQL, making their first real deployment and learning system design hands-on. Also built an AI resume and cover letter generator using Gemini and has experience debugging open-source code and managing PRs in a capstone team project.”