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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
Staff Software Engineer specializing in distributed infrastructure and reliability
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