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Vetted GitHub Copilot Professionals
Pre-screened and vetted.
Stephen Koo
Senior Software Engineer specializing in LLM infrastructure and AI inference platforms
“Google Workspace AI engineer who owned major AI assistant infrastructure end-to-end: React/TypeScript UI, a Node.js context-aggregation gateway on Cloud Run, and a Go inference layer on GKE serving Gemini. Built and productionized Gmail RAG + agentic workflows with rigorous evals and guardrails, and has a strong track record of measurable impact (latency, engagement, acceptance-rate lifts) and zero-incident migrations using feature flags/strangler patterns across multiple ML teams.”
Jack Ahn
Executive Technology & R&D Leader specializing in Generative AI and Digital Health
“Hands-on engineering leader currently at Vianai (GenAI enterprise applications) building AI-assisted data exploration/insights products with Python and React. Previously Corporate VP of Digital Health at Samsung Electronics, where they helped close key partner deals by demonstrating API-driven openness and led a major Samsung Health modernization from monolith to microservices for horizontal scalability and faster, safer iteration.”
Senior Applied AI Platform Engineer specializing in RAG and LLM systems
Gabe Grigorescu
Executive engineering leader specializing in enterprise SaaS, cloud platforms, and FinTech
“Senior engineering leader with deep hands-on architecture experience across fintech and enterprise software. At DriveWealth, he led a major backend replatform for a brokerage platform handling 10M+ trades per day, combining event-driven design, Kinesis/Kafka, and regulatory-grade accuracy; at TIBCO, he built a Kubernetes-based API management product from near scratch into a successful revenue-generating offering.”
Dragon Chan
Senior Strategy & Operations leader specializing in AI automation and supply chain
“Strategy and operations leader with experience spanning Anheuser-Busch and McMaster-Carr, combining large-scale cost ownership, frontline operations leadership, and sourcing strategy. Particularly compelling for operationally intensive roles: they’ve managed a 150-person service organization, owned a ~$750M cost base, built strategy in ambiguous environments, and independently drove an LLM automation pilot that reached 97% accuracy and saved 3 FTEs.”
Director of Engineering specializing in AI/ML, GenAI, and cloud platforms
Senior Backend Engineer specializing in scalable APIs and cloud services
Padmaja Tyada
Executive engineering leader specializing in cloud, AI, and FinTech platforms
“Engineering leader with experience scaling teams from 25 to 60+ and delivering both enterprise platform modernization and AI-native product innovation. At Experian, he led an AWS transformation of a high-volume credit platform serving 250M+ consumers, achieving 10x performance gains and 30% cost reduction; at Channel Core, he built AI-powered creator tools using OpenAI and RAG that improved adoption and personalized outreach outcomes.”
Saleem Sultan
Director-level Product & Engineering Leader specializing in AI/ML, cloud platforms, and digital transformation
“Senior engineering/technology leader who has defined and delivered a multi-year roadmap to modernize platforms and embed AI, leading global teams through cloud-native and microservices migrations on AWS/Azure. Demonstrated measurable outcomes including 99.99% uptime, 40% fewer incidents, 25% faster delivery, 5x scalability, and $30M in new business opportunities, while scaling a 100+ person distributed org with strong OKR-driven execution and mentorship culture.”
Tosin Omolewu
Executive Product & Technology Leader specializing in AI-driven platforms and digital transformation
“Engineering/tech leader with experience spanning major platforms (mentions Microsoft and AWS) and leading ML-driven product architecture (ranking systems). Describes driving a shift to a layered, API-standardized service architecture (including vector database components) that materially increased delivery speed (weeks to hours) while improving scalability and security, and emphasizes rigorous execution reviews (QDR/OKRs) plus transparent remote-team operating rhythms.”
Principal Technical Product Manager specializing in cloud, mobile, and enterprise platforms
Executive AI/IoT Engineering Leader specializing in full-stack and edge AI systems
Mid-level Software Engineer specializing in AI-powered productivity and mobile experiences
Senior Frontend Technical Lead specializing in React and micro frontends
Executive engineering leader specializing in cloud, ecommerce, and enterprise platforms
Executive engineering leader specializing in AI/ML, cloud platforms, and enterprise software
Mid-level Software Engineer specializing in backend APIs, data pipelines, and cloud microservices
Principal Software Engineering Manager specializing in cloud platforms and security
Premsankar Alwarsamy
Senior engineering leader specializing in AI-first full-stack SaaS platforms
“Engineering leader with hands-on product and platform experience spanning AI-powered web forms, multi-region Azure/OpenAI architecture, and full-stack team scaling. They also remain close to production systems, citing a concrete debugging example involving iOS WebView local storage behavior causing token loss in embedded mobile web forms.”
john emerson
Executive product and AI leader specializing in healthcare, public health, and EdTech
“Veteran healthtech product leader with a track record spanning consumer health, provider workflows, AI voice agents, and public-sector pilots. They have led both large-scale rebuilds and 0-to-1 products, including work tied to Healthline's $21M Series B, a major Healthgrades revenue platform overhaul, and AI healthcare operations products—while consistently emphasizing human-centered design and measurable outcomes.”