Vetted GitHub Copilot Professionals

“Engineer with hands-on experience modernizing healthcare platform authorization and EVV compliance workflows, including replacing hardcoded permissions with a Cerbos-based RBAC/ABAC system. Stands out for pragmatic AI-assisted development in regulated environments, with a strong emphasis on testing, auditability, and catching subtle business-rule failures before production.”

“At ReferU.AI, designed and deployed an agentic RAG pipeline that automates multi-jurisdiction legal document drafting, emphasizing hallucination reduction through hybrid retrieval, validation agents, guardrails, and iterative regeneration. Experienced with orchestration frameworks (especially CrewAI) and rigorous testing/evaluation practices including human-in-the-loop review, adversarial testing, and production metrics/logging.”

“Full-stack engineer with startup SaaS experience building workflow automation and case management platforms for business operations teams. Strongest in Python, TypeScript/React, and PostgreSQL, with hands-on ownership from backend architecture and APIs to production deployment on AWS; notably helped reduce manual processing and improve customer turnaround times in a high-ambiguity scaling environment.”

“Frontend engineer with hands-on experience building a real-time financial market dashboard at FinSight AI, handling 30+ live data streams with React, TypeScript, WebSockets, and performance-focused rendering patterns. Stands out for measurable production impact, including a 70% reduction in unnecessary re-renders, plus strong real-time visualization and UX optimization experience.”

“Product/BA-oriented builder who combines AI tools, lightweight web delivery, and workflow design to turn ambiguous needs into usable solutions. Has experience spanning GitHub content intelligence dashboards, AI-agent customer training prototypes, federal healthcare cloud onboarding at the VA, and modernization of a black-box MS Access process into a transparent online workflow for the Millennium Challenge Corporation.”

“Freelance Unity/XR developer with multiple Meta Quest projects (including non-game XR apps) and a 1st-place win at Meta’s Sense AI hackathon in Barcelona for an AI camera-access VR assistant for vehicle repairs. Built a VR Spanish-learning experience solo and has hands-on experience optimizing VR performance (culling, view restriction) and integrating voice recognition for language interactions.”

“Unity game developer with experience in both single-player UX-heavy systems and synchronous PvP multiplayer. Implemented a drag-to-target UI flow for a turn-based strategy game that reduced a typical unit turn from ~10 clicks to 1, backed by a modular battle-step architecture. Worked with Photon PUN/Fusion on Cat Simulator 2 (up to 10 players), focusing on data minimization and physics synchronization techniques.”

“Full-stack TypeScript/React/Next.js builder who created an end-to-end customer-facing product (AI Job Master) that generates personalized outreach from resumes and job descriptions. Demonstrates strong product + engineering ownership with rapid MVP iteration, instrumentation-driven prioritization, and pragmatic reliability patterns (microservices, queues, correlation IDs, retries) while tackling a key AI challenge: user trust and output consistency.”

“Full-stack developer building Lynx Cafe, a React Native/Expo iOS app for coffee shop customer feedback, while using AI and multi-agent workflows to accelerate scaffolding, architecture, and backend migration. Stands out for treating AI like a junior engineering team—assigning specialized tasks, manually integrating outputs, and enforcing code quality, security, and architectural consistency.”

“Engineer working on a private cloud management platform who combines AI-assisted coding with formal methods, especially TLA+, to improve reliability in distributed systems. They led adoption of TLA+ for critical control-plane and task-queue components, catching substantial classes of bugs and building CI automation to keep specs aligned with code.”

“Full-stack product engineer working primarily in AngularJS/.NET environments who owns contract-signing workflows end to end. Most notably built and still owns an Express Contract module with multilingual WYSIWYG templates, automated activation, and prepayment/workflow controls supporting roughly 10,000 contract signatures per month, while also handling dashboard performance tuning on legacy-heavy systems.”

YASH CHAUDHARI

Screened

Mid Frontend Engineer specializing in React and FinTech platforms

Kalyan, India3y exp

“Full-stack engineer with strong fintech/product experience who built a credit/account-summary domain end to end as a microservice, integrating multiple backend services and deploying it across 13+ countries. They also shipped an OpenAI-powered financial assistant with token streaming, context grounding, production monitoring, and human-in-the-loop safeguards for sensitive debt guidance.”

“Frontend-focused candidate with React/TypeScript project experience spanning a senior design ADHD study app and an internship building ConfirmAddress.app. Stands out for combining role-based access/privacy thinking, education-regulation awareness, and hands-on debugging of login/state issues, with a strong emphasis on simple UX that supported real customer adoption.”

“Full-stack engineer with experience spanning enterprise financial services and biomedical AI systems. They’ve shipped React/TypeScript and Spring Boot products with measurable production impact, contributed to an AWS-deployed LLM/MCP service for governed research data on Synapse, and also built a zero-to-one AI-powered Terms of Service and privacy policy crawler from scratch.”

Pawan Tiwari

Screened

Senior Frontend Engineer specializing in real-time data and AI-powered interfaces

Bangalore, India5y exp

“Frontend-leaning product engineer who repeatedly operates across the stack, from React/TypeScript architecture to backend eventing, caching, and real-time systems. They describe measurable wins in high-scale operational products—cutting invoice download time by ~99%, stabilizing 100k+ daily-query dashboards to 200ms, and building internal platform tooling including an AI infrastructure agent adopted by 50+ engineers.”