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Vetted Apache Spark 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.”
Staff-level Software Engineer specializing in LLM inference infrastructure and scalable model serving
Max Zhu
Staff Software Engineer specializing in Cloud Healthcare Data Platforms
“Backend/data engineer with deep healthcare data experience (FHIR, de-identification) across both GCP and AWS. Has built and operated production microservices and ETL pipelines (FastAPI, Dataflow, Glue) with strong reliability practices, and led modernization of a legacy SAS compliance reporting system to cloud services with validated parity and stakeholder-facing Looker comparisons.”
Senior Machine Learning Engineer specializing in recommender systems, search, and NLP/GenAI
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.”
Hassaan Khan
Executive Technology Leader specializing in distributed systems, cloud infrastructure, and AI/ML
“Engineering leader/player-coach who built and validated a preference-based recommendation engine using clustering, including generating test data to evaluate how clusters evolve over time. Has SRE/DevOps experience and has owned production incidents end-to-end (logging-driven RCA and refactoring patterns that failed at large data scale). Emphasizes quality and platform stability via unit, integration, and load testing, and has managed performance via regular 1:1s and PIPs.”
Director-level Data Platform Engineering Leader specializing in data governance and quality
Staff Machine Learning Engineer specializing in LLMs and Generative AI
Senior Software Engineer specializing in distributed systems and high-scale backend platforms
Principal/Senior Architect specializing in AI platforms and cybersecurity
Senior Software Engineer specializing in AI platforms, payments, and consumer systems
Principal Data Scientist & AI/ML Engineer specializing in LLMs, recommender systems, and MLOps
Senior Machine Learning Engineer specializing in large-scale AI systems
Senior AI Engineer specializing in LLMs, RAG, and production ML 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
Staff Software Engineer specializing in data platforms, distributed systems, and AI workflows
Senior Full-Stack/Backend Software Engineer specializing in distributed systems and ML ranking
Senior Applied AI Engineer specializing in recommendation, search, and ML platforms
Mid-level AI/ML Engineer specializing in LLM training, RAG, and scalable inference