Pre-screened and vetted.
Junior Software Engineer specializing in ML inference infrastructure
Mid-level Java Software Engineer specializing in backend systems and AI-integrated platforms
Mid-level Full-Stack Engineer specializing in SaaS, HR Tech, and distributed backend systems
Mid-level Python Backend Engineer specializing in AWS cloud-native APIs
Senior Full-Stack Engineer specializing in Python, React, and cloud-native web platforms
Mid-level Full-Stack Python Developer specializing in cloud-native web applications
Senior Full-Stack/Backend Engineer specializing in distributed systems and cloud-native platforms
Mid-level Full-Stack Developer specializing in Java, Spring Boot microservices, and Angular
Senior Full-Stack Developer specializing in automation, IoT, and integrations
Staff/Lead DevOps & Site Reliability Engineer specializing in cloud infrastructure and Kubernetes
Senior Full-Stack Developer specializing in MERN and scalable web applications
Junior Software Engineer specializing in AI/ML and full-stack applications
“AI/backend-focused builder who has shipped two distinct applied AI products: a game discovery platform with vector search + RAG chat, and an AI accounting platform for small businesses. Stands out for combining product discovery with hands-on system design, including sub-100ms retrieval performance, privacy-conscious financial workflows, and measurable impact like 58% compute-time reduction and support for 24,000+ user profiles.”
Senior Full-Stack & Machine Learning Engineer specializing in scalable SaaS and cloud AI
“Frontend engineer who led an enterprise self-serve analytics dashboard end-to-end using a micro-frontend React/TypeScript architecture with strong integration discipline (contracts, CI gates, ADRs). Demonstrated measurable performance wins (35% faster LCP) through code splitting, lazy loading, and tighter Redux subscriptions, and uses feature flags plus automated E2E coverage for controlled rollouts.”
Mid-level Full-Stack & Cloud Engineer specializing in backend, AWS infrastructure, and DevOps
“IBM Power/AIX engineer who has owned a large production estate (20+ Power9/Power10 frames and 400+ LPARs) with vHMC and dual-VIOS HA. Has hands-on incident recovery experience (NPIV/RMC issues, LPM restores) and PowerHA failovers, plus modern DevOps exposure using Terraform on AWS and CI/CD with GitHub Actions/Jenkins (including deploying AI/RAG and vision workloads).”
Mid-level Product Designer & Design Technologist specializing in design systems and GenAI UX
“Enterprise/industrial UX designer focused on making complex, real-time automated systems feel trustworthy and predictable. Has hands-on experience observing operators in logistics/automation environments, building shared interaction models to unify fragmented products, and collaborating tightly with engineers using component-system thinking (HTML/CSS/TypeScript) to ship resilient UIs that handle partial failures.”
Entry-level Full-Stack Software Engineer specializing in .NET, React, and cloud systems
“Full-stack developer with .NET and cloud-based development experience who has built a practical AI-assisted engineering workflow using Copilot, Claude, and GPT across coding, debugging, testing, and review. Stands out for using AI to accelerate delivery while still applying careful validation and human judgment for high-impact performance and security decisions.”
Mid-level Full-Stack Engineer specializing in AI-powered web platforms
“Solo builder of ZenDSA, a live AI-powered DSA learning product with 37 real users, built end to end using Java/Spring Boot, React, and TypeScript. Particularly interesting for teams building AI products: they designed a production LLM fallback architecture, enforced structured JSON outputs, monitored parse-failure regressions, and fixed an SSRF vulnerability after launch.”
Junior Full-Stack Engineer specializing in backend and cloud development
“Frontend-focused developer who built Butterfly Booking, a live two-sided salon scheduling platform for both business owners and customers. Demonstrated strong ownership across UI architecture, AWS deployment, responsive design, and a mid-project database migration, with results including a successful replacement of Vagaro, over $3,000 in annual savings for the client, and roughly 20% growth in bookings after launch.”