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Vetted Error Handling Professionals
Pre-screened and vetted.
Junior Software Engineer specializing in cloud, integrations, and AI systems
Mid-level Full-Stack Developer specializing in Spring Boot microservices and React
Senior Product Designer specializing in UX/UI, design systems, and conversion-focused experiences
Senior Full-Stack Engineer specializing in serverless AWS and IoT products
Mid-Level Full-Stack Software Engineer specializing in Java/Spring Boot and AWS
Mid-level Full-Stack Engineer specializing in React, TypeScript, and FastAPI
Mid-level Software Engineer specializing in backend systems and AI platforms
Mid-level Full-Stack Engineer specializing in AI, agentic systems, and LLM infrastructure
Senior Front End UI Developer specializing in scalable, accessible web applications
Mid-level Software Engineer specializing in backend systems and cloud applications
Senior Full-Stack Developer specializing in .NET, cloud microservices, and modern SPAs
Senior C++/Unreal Developer specializing in VR/XR medical simulation and game development
Junior Backend/Full-Stack Software Engineer specializing in distributed systems
Senior Software Engineer specializing in FinTech and treasury platforms
Balaji Vellaluru
Mid-level Software Engineer specializing in full-stack and computer vision systems
“Built D.O.C.T.O.R, a 0-to-1 anatomy learning platform with 450+ 3D models that reached 6,500+ users, saved $850K versus a costly alternative, and was featured in a University of Illinois Chicago news article. The candidate combines product initiative with hands-on full-stack execution, spanning React/Three.js, databases, auth, analytics, and AI workflow automation side projects.”
Kruti Mehta
Mid-level Software Engineer specializing in backend systems and FinTech analytics
“Engineer with a pragmatic, high-leverage approach to AI-assisted development: uses AI and multi-agent workflows aggressively for implementation and internal tooling, while maintaining strict human oversight for user-facing features. Stands out for treating agents like junior engineers, breaking work into actionable tasks, and combining robust testing, local E2E validation, and feature-flag rollouts to safely ship production code.”
DhanushKautilya Kammaripalle
Junior AI Integration Engineer specializing in LLM agents and RAG on cloud platforms
“Built and deployed LLM-powered features for a startup organizational management application, focusing on real-world deployment constraints like latency and cost. Implemented RAG with FAISS and improved retrieval quality by switching embedding models (OpenAI/Hugging Face) and fine-tuning embeddings on medical corpora for a medical-report UI feature. Uses LangChain and LangGraph to orchestrate multi-node LLM API workflows and evaluates systems with metrics like latency, cost per request, and error taxonomy.”
Michael Rosario
Senior Backend Engineer specializing in logistics platforms and API integrations
“Backend engineer focused on reliability and production operations, with hands-on experience implementing an outbox pattern to keep database updates and downstream events consistent. They also described diagnosing transaction-related latency under heavy client traffic and using monitoring data to validate performance improvements, showing a pragmatic, systems-oriented approach to scaling integrations.”
Nathaniel Schoeb
Senior Software Engineer specializing in secure full-stack healthcare systems
“Full-stack developer who uses AI deliberately rather than blindly, keeping generated code to a minority of core feature work so they retain full understanding of data flow. Built a React/TypeScript + Supabase task management app and shows strong judgment around debugging hallucinated schema/query output, refactoring for maintainability, and prioritizing security and logic over boilerplate speed.”