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Vetted Retrieval-Augmented Generation (RAG) 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.”
Senior AI/ML Engineer specializing in applied AI and scalable backend systems
Senior AI/ML Engineer specializing in NLP, LLMs, and retrieval systems
Staff Software Engineer specializing in distributed systems and AI infrastructure
Senior Machine Learning Engineer specializing in recommender systems, search, and NLP/GenAI
Senior Software Engineer specializing in distributed systems, AI/ML, and healthcare platforms
Kaiqi Zhang
Senior Full-Stack Engineer specializing in cloud-native SaaS and AI applications
“ML/LLM engineer with hands-on experience shipping production RAG systems at Google Clinical Search and GenAI recommendation/summarization features in Meta Ads. Stands out for combining research-to-production execution with rigorous grounding, evaluation, safety checks, and reusable Python platform components that improved both reliability and team velocity.”
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.”
Stephane Maes
Executive CTO/CPO specializing in AI, cloud, telecom, and enterprise software
“Chief AI Strategy at startup Zenera with 30 years in technology strategy/design, experienced in building business plans across startups and large enterprises (projects, new products, and M&A). Deeply familiar with enterprise AI go-to-market challenges (slow procurement/pilot cycles) and preparing for VC expectations (e.g., targeting a16z) by emphasizing unique tech and paying customers.”
Director-level Data Platform Engineering Leader specializing in data governance and quality
Senior Software Engineer specializing in AI platforms, payments, and consumer systems
Senior Machine Learning Engineer specializing in large-scale AI systems
Senior AI Engineer specializing in LLMs, RAG, and production ML systems
Staff AI Systems Engineer specializing in LLM platforms and distributed systems
Senior Software Engineer specializing in AI platforms and full-stack cloud systems
Senior Full-Stack Software Engineer specializing in AI platforms and cloud data systems
Staff Software Engineer specializing in AI platforms, RAG systems, and large-scale products
Senior Software Engineer specializing in agentic AI and full-stack LLM systems
Staff Software Engineer specializing in data platforms, distributed systems, and AI workflows
Senior Software Engineer specializing in LLM, agentic AI, and distributed backend systems
Senior Applied AI Engineer specializing in recommendation, search, and ML platforms