Vetted GitHub Copilot Professionals

“Software engineer with 5+ years of experience building and scaling high-traffic web systems, including e-commerce-style purchasing/reservation flows and broker back-office platforms. He has hands-on experience across Next.js front ends, Python integrations, Go load-testing tools, and MySQL/Redis-backed architectures, with notable exposure to financial reporting, MT5 integrations, and commission logic.”

“AI/LLM engineer at Capital One who deployed a production RAG-powered fraud analysis and document intelligence platform using LangChain, OpenAI, Pinecone, Kafka, and AWS. Focused on reliability in real-time investigations via hybrid retrieval, schema-validated outputs, and LLM verification loops, reporting review-time reduction from hours to minutes and ~99% fraud detection precision.”

“Backend-focused engineer with experience at AWS building a global alarm processing platform (Python, Lambda/SQS/DynamoDB) handling traffic spikes and reliability issues; resolved duplicate alerts and latency under load by fixing hot partitions and enforcing idempotency. Previously at Cognizant, built Java/PostgreSQL backend workflows for healthcare dashboards using pre-aggregated summary tables, strong SQL optimization, and state-driven job orchestration with ELK-based observability and production guardrails.”

“AppSec-focused customer advisor with hands-on experience integrating SAST/DAST/SCA into production CI/CD (Azure DevOps) and designing secure agent/scanning deployments in AWS (least-privilege IAM, private subnets, VPC endpoints). Demonstrates strong incident troubleshooting using logs/metrics/traces to diagnose load-related failures (timeouts/retry storms) and drive durable fixes, while tailoring risk/tradeoff communication across engineering, security, and leadership stakeholders.”

“Full-stack engineer building real-time internal banking operations dashboards (Java/Spring Boot microservices + React/TypeScript) with Kafka-based streaming and post-launch performance optimizations. Also shipped a production internal AI support assistant using RAG (Confluence/PDF/support docs ingestion, embeddings + vector DB retrieval) with guardrails, evaluation loops, and observability to reduce hallucinations and prevent regressions.”

Joseph Villanueva

Screened

Senior Software Engineer specializing in full-stack SaaS and Healthcare IT

San Francisco, CA8y exp

“Product-minded software engineer from Gusto who has shipped internal AI agent capabilities and end-to-end user-facing features across frontend and backend. Stands out for making pragmatic architecture tradeoffs—moving from OpenAI prototypes to deterministic systems when accuracy, latency, and uptime mattered—while still improving LLM workflow quality and reducing tool-calling errors by 15%.”

“Built AI-powered natural language search and summarization features for internal financial platforms at JPMorgan, with a strong focus on trust, compliance, auditability, and failure handling. Stands out for treating AI as one component in a larger enterprise system rather than a magic layer, and for combining hands-on LLM integration experience with thoughtful agent architecture and validation design.”

“Architecture leader from Disney who managed system, AI, and data architects while staying hands-on in solution design. Has experience building LLM-based video advertising products, designing Kafka-based real-time data architectures, and using MVP/POC approaches to align product and executive stakeholders.”

David Richards

Screened

Staff enterprise architect specializing in governance, automation, and regulated environments

Remote, USA18y exp

“Solutions/Sales Engineering professional who has supported enterprise and upper mid-market B2B SaaS deals across highly regulated industries, then transitioned into enterprise architecture and governance at IQVIA. Stands out for combining AI/RPA solution selling with hands-on architecture and implementation, including a legal AI classification deal that achieved 97% accuracy with zero false positives and an air-gapped UiPath deployment that automated 37% of incoming insurance documents.”

“Unity VR/MR developer with multiple shipped Meta Quest projects, including a multi-user mixed-reality co-creation experience featuring real-time connection logic and shader-driven mesh generation for performance. Also builds AI-powered interactive applications, recently creating a video interview simulator using OpenAI API, HeyGen real-time avatars, and AWS audio/agent tooling while managing end-to-end latency challenges.”

“Backend-heavy full-stack engineer with experience at Intuit (TurboTax Live) and Paytm payments, building and scaling Java/Spring Boot microservices for high-traffic transaction systems. Has hands-on wins improving peak-load performance using Redis/disk caching and Kafka event-driven patterns, plus React/Redux work for web app integration and strong monitoring practices with ELK.”

“AI-focused engineer who treats models as tightly controlled collaborators rather than autonomous replacements. Built and led a LangGraph-based multi-agent research system with separate stages for decomposition, retrieval, synthesis, and validation, emphasizing modularity, debuggability, and robust failure handling.”

“Front-end/UI engineer who built and standardized a complex metadata component system for 2,500+ banking users across 40+ internal product surfaces. Stands out for combining design-system architecture, browser-level CSS expertise, and workflow-sensitive UX for demanding financial users, including a token system that resolved 488 style references and a reusable responsive component library adopted across five product areas.”

“Healthcare IT engineer with deep observability, backend, and database expertise who built mission-critical monitoring solutions across major enterprise transitions including Siemens, Cerner, and Oracle. Stood out by creating a DoD-deployed observability platform for 10,000+ HL7 interfaces and by automating hospital financial day-end workflows, cutting issues by 90% and freeing up 14 FTEs.”

“Built and shipped a production LLM-powered RAG assistant for enterprise internal document search (PDFs, knowledge bases, structured data), addressing real-world issues like noisy documents, hallucinations, and latency with grounded prompting, retrieval-confidence fallbacks, and performance optimizations. Also partnered with compliance and business teams at JPMc to deliver a solution aligned with regulatory constraints, supported by monitoring, feedback loops, and systematic evaluation.”

“Built and shipped a production LLM-powered multi-agent system that autonomously generates and publishes YouTube videos end-to-end (trend discovery, script writing, image/caption generation, timestamped video assembly). Emphasizes production readiness with extensive automated testing, Redis/Postgres/TimescaleDB state orchestration, and Prometheus/Grafana monitoring, reporting ~100x faster content production and improved engagement/viewership.”

Vivek Shrivastava

Screened

Director-level Technology Leader specializing in data platforms, AI, and media/AdTech transformation

Los Angeles, California24y exp

“Technology leader who built a unified platform for Fox live sports production operations starting in 2019, delivering an initial operational system on an ~18-month timeline while simultaneously scaling an in-house engineering team from a service-provider partnership. Led a security architecture for external vendors/partners using a separate Okta instance with zero-trust and passwordless authentication, and drove adoption through strong change management, documentation, and agile execution.”

Utkarsh Mittal

Screened

Mid-level Software Engineer specializing in backend and distributed systems

Murray Hill, NJ5y exp

“Backend engineer who has owned large-scale systems from design through rollout, including a Dell rearchitecture that unified two regional platforms and delivered major latency gains while scaling the effort from 6 to 150 contributors. Also built an ESG analysis product in an ambiguous startup environment using AWS Lambda, Bedrock/Claude, Flask, and custom data pipelines, showing a blend of distributed systems depth and practical AI integration.”

Santhoshkumar Biradar

Screened

Principal Product Leader specializing in AI search and intelligent enterprise commerce

Union City, CA25y exp

“Principal Product Manager with 8+ years leading a large-scale AI search platform for SAP e-commerce products, owning strategy through execution for a system serving 15+ billion documents and 50 million queries per day at 99.99% uptime. Built the product from 0 to 1 using RAG, vector search, embeddings, and LLMs, then scaled it iteratively across 9 applications and multiple global languages while navigating complex cross-functional and customer-driven priorities.”

“Engineering leader with a mix of people management, consulting, and hands-on architecture experience across streaming media and digital product delivery. He has built remote teams, created engineering operating models from scratch, and led pragmatic turnarounds of underperforming teams and ETL/integration systems under tight deadlines.”

Ryan Peterson

Screened

Senior Full-Stack Engineer specializing in Python web and AI applications

New York, USA8y exp

“Backend-heavy full-stack engineer with startup fintech experience who built a real-time lending eligibility service that cut decision time from 12-24 hours to under 5 seconds and lifted conversion by ~15%. Also has B2B SaaS experience automating construction workflows, with strong hands-on work across React/TypeScript, Python/FastAPI, Node.js, Kafka, Redis, and some Go.”

“Engineering leader (player-coach) recently at Autodesk driving a major sales-motion transformation spanning account hierarchy, commissions/quotas, and downstream financial/sales forecasting impacts. Led cross-functional design with enterprise architects and shipped the end-to-end release, using POCs and Anaplan what-if modeling to validate a risky hierarchy change while coordinating delivery across India/Singapore teams and instituting structured Jira-based tech debt/support tracking and automation (dbt, GitHub Copilot).”

Garretson Beebe

Screened

Director-level Engineering Leader specializing in cloud, data, and AI platforms

San Francisco, CA17y exp

“Engineering leader with deep product-platform experience across Splunk and Alation, including owning the multi-year SPL2 initiative at Splunk from customer research and architecture decisions through execution planning and org scaling. Also grew Alation's Data Analytics organization from 8 to 22 engineers across three squads, combining hands-on technical problem solving with strong managerial systems.”