Pre-screened and vetted.
Senior Full-Stack Developer specializing in React, Django, and cloud-native applications
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.”
Mid-level Full-Stack Developer specializing in AI and cybersecurity platforms
“Builder of multiple AI products including Nova-Core, a multi-model assistant using Grok and Gemini, and Lumina Shield, a prototype for vulnerability detection and performance analysis that routes findings into Nova-Core for explanation and fixes. Also created a desktop voice agent ('Soul') and brings 6 years of experience in a non-profit audio consultancy, with a personal story of being a cancer survivor motivated by purpose-driven work.”
Senior Frontend Engineer specializing in scalable web applications
“Front-end engineer who has led architecture for complex enterprise web experiences combining e-commerce and marketing on a headless CMS stack. Stands out for quickly upskilling into React/TypeScript/GraphQL while delivering, and for hands-on accessibility remediation work that balanced ADA compliance, usability, and stakeholder management.”
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 Full-Stack Engineer specializing in web applications and AI-assisted workflows
“Frontend-focused candidate with hands-on experience building a technically demanding AI-assisted survey/copilot interface at VSorts.ai while working as a research assistant at ODU. They show strong practical judgment around React architecture, TypeScript safety, and performance tuning, including diagnosing context-driven re-render issues and improving UX in real-time interactive applications.”
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.”
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 Full-Stack Software Engineer specializing in web development and data pipelines
“Full-stack product builder who has repeatedly designed and shipped production web experiences solo, from a college event platform serving 500+ live registrations to research dashboards and AI-generated GitHub reporting tools. Stands out for combining product judgment, frontend design/build ownership, and calm production debugging under real user pressure.”
Junior Robotics Software Developer specializing in embedded systems and ROS2
“Robotics engineer who built an educational/research robotic arm end-to-end, including IK/FK math, simulation-based validation, and ROS2 Humble integration with multiple teleoperation inputs (DualSense and Leap Motion). Also optimized a resource-constrained ESP32-S3 wireless maze robot to stream real-time video and sensor data over WiFi using TCP/HTTP with RTOS-based concurrency and binary struct packing.”
Intern Software Engineer specializing in Voice AI and NLP
“Customer-facing engineer from Popular Tech who built and deployed tailored AI/automation features for enterprise voice systems. Experienced in integrating customer workflows via APIs, handling live production latency incidents through log tracing and rapid stabilization, and validating solutions through phased rollouts, monitoring, and direct on-site collaboration with clients.”
Junior Backend Software Engineer specializing in API-driven systems
“Backend engineer focused on Python/FastAPI who has designed and evolved an API-driven platform with an emphasis on clean contracts, data integrity, and scalable service boundaries. Demonstrated production-minded reliability work by addressing partial writes/retry failure modes with idempotency and validation, eliminating duplicate/corrupted records, and has implemented layered security including Supabase-managed auth, RBAC, and row-level security.”
Junior Full-Stack Developer specializing in web apps and machine learning
“Built and organized SQL databases for a grocery pricing update backend and has hands-on experience designing FastAPI/Python APIs with security controls like authentication, RBAC, and strict validation. Also brings research experience identifying real-world failure modes (weather-driven sensor/model inaccuracies in MSE wall corrosion work) and adapting models to improve robustness, plus UI design support on an email-restricted campus hackathon enrollment flow.”
Senior Full-Stack Engineer specializing in scalable web applications
“Full-stack engineer with startup-style ownership experience, working across UI, backend APIs, databases, and production support. He has contributed to business-critical B2B SaaS platforms including inventory/back-office software for large brands and a GST-compliant e-invoicing system designed for high-volume processing and operational reliability.”
Senior Full-Stack Developer specializing in cloud-native microservices (Angular/React, .NET, Java)
“Full-stack engineer with experience delivering an end-to-end NIH application using Angular and scalable .NET Core microservices backed by MySQL. Has hands-on depth in complex approval/workflow implementations (RBAC + workflow engine) and performance tuning for million-record, data-driven systems, plus 5 years with Java/Spring Boot microservices and React.”
Junior Backend Software Engineer specializing in Java Spring Boot and PHP Laravel
“Built and shipped a production LLM-powered document processing agent (ingestion→OCR→LLM extraction/classification→validation→DB/workflow triggers) using Kafka and PostgreSQL. Emphasizes production reliability with strict JSON schemas, idempotent services, retries/backoff, fallback models, and human-in-the-loop review—driving ~90% automation, minutes-to-seconds processing, and ~10x throughput.”
Senior Full-Stack/Backend Engineer specializing in APIs, distributed systems, and AI integrations
“AI/backend engineer who has built and scaled production LLM-powered SaaS features (document assistant + compliance review agent) on a Node.js/TypeScript + Postgres/Redis stack deployed to GCP Kubernetes. Demonstrates strong production reliability chops—async queueing, autoscaling, observability, and database tuning—with quantified wins (p95 latency -60%, query 4s to <200ms) and robust AI guardrails (strict RAG, schema validation, citations, HITL).”
Entry-level AI Engineer specializing in full-stack LLM applications
“Built an AI-powered lecture-to-notes web app from personal pain at university, combining Spring Boot, React, PostgreSQL, and Python AI services for transcription and summarization. Also led architecture for FishBowl, a multi-agent Shark Tank-style pitch practice tool using GPT-4o, Perplexity, and ElevenLabs that won 1st place in the AI & Entrepreneurship track at HackHayward.”
Mid-Level Software Engineer specializing in desktop applications and legacy modernization
“Full-stack engineer working on a medical practice SaaS, who owned an end-to-end charge entry module handling patient charges/payment workflows and complex client-side data transformations. Also built a fintech rating platform with real-time WebSocket streaming and TradingView-based charting, and has 10 years of university experience mentoring student "startup" capstone projects under tight deadlines.”
Junior Full-Stack Developer specializing in React, Node.js, and Laravel
“Frontend-focused engineer who led end-to-end React/TypeScript builds for internal university systems and a complex news-email automation dashboard, emphasizing scalable architecture, RBAC/JWT auth, and robust multi-filter state management. Also improved an existing hackathon app via Redux refactors, lazy loading, responsive/SEO enhancements, and performance gains to 90+ while collaborating closely with design (Figma) and backend teams.”
Junior Frontend Engineer specializing in React and FinTech products
“Frontend-focused React/TypeScript candidate who emphasizes performance and scalable UI architecture. They described optimizing rendering for a large vault-based interface and improving production search UX with debouncing in a Next.js application, using React Context, hooks, Tailwind CSS, and shadcn/ui.”
“Early-career full-stack engineer who has not yet shipped a professional customer-facing product but has built sophisticated AI-driven systems in personal/academic work, including a multi-tenant AI knowledge base (async ingestion, pgvector semantic search, SSE real-time updates, knowledge graphs) and an AI-powered code review assistant designed to process thousands of jobs via Redis/BullMQ.”
Intern Software Engineer specializing in backend APIs, cloud, and microservices