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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
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.”
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 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 Applied AI Engineer specializing in recommendation, search, and ML platforms
Staff Full-Stack Software Engineer specializing in cloud platforms and real-time health data
Mid-level AI/ML Engineer specializing in LLM training, RAG, and scalable inference
Staff Machine Learning Engineer specializing in search, ranking, and LLM systems
Richard Jackson
Senior Machine Learning Engineer & Solution Architect specializing in cloud AI systems
“Backend/ML platform engineer with Google experience leading Python microservices for an AI-driven recommendation/retrieval system, including PyTorch inference and a retrieval-augmented generation workflow. Strong in production Kubernetes + GitOps (ArgoCD), real-time Kafka/Spark pipelines, and phased on-prem/legacy to AWS/GCP cloud migrations with reliability-focused rollout and rollback practices.”