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Vetted Observability 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
Staff-level Software Engineer specializing in LLM inference infrastructure and scalable model serving
Russell Wong
Senior Software Engineer specializing in large-scale backend reliability and media platforms
“Backend/data engineer with experience on large-scale consumer platforms (Google and Meta), building high-traffic Python microservices (REST/gRPC) on Kubernetes with strong reliability/observability practices. Delivered AWS container-based deployments with CI/CD and IaC, and built AWS Glue ETL pipelines on S3 with schema evolution and data quality controls; also has demonstrated SQL tuning impact (15% latency reduction) and incident ownership for batch pipelines.”
Senior AI/ML Engineer specializing in NLP, LLMs, and retrieval systems
Staff Software Engineer specializing in distributed systems and AI infrastructure
Senior Full-Stack Engineer specializing in Python APIs and cloud 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.”
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.”
Executive Technology & Product Leader specializing in AI, Cloud, and Cybersecurity platforms
Senior Software Engineer specializing in cloud platforms and healthcare AI
Executive technology architect specializing in cloud platforms, SRE, and enterprise SaaS
Staff Software Engineer specializing in large-scale commerce and payments
Senior Full-Stack Engineer specializing in AI platforms, real-time collaboration, and observability
Senior Software Engineer specializing in distributed systems and high-scale backend platforms
Senior Full-Stack Engineer specializing in Python back ends and cloud-native systems
Staff DevOps Engineer specializing in SRE, Kubernetes, and hybrid cloud platforms
Senior Software Engineer specializing in Generative AI and distributed systems
Senior Software Engineer specializing in AI platforms, payments, and consumer systems
Senior DevSecOps Engineer specializing in secure cloud CI/CD and Infrastructure as Code
Senior AI Engineer specializing in LLMs, RAG, and production ML systems
Staff Software Engineer specializing in AI platforms, RAG systems, and large-scale products