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Vetted Data Pipelines Professionals
Pre-screened and vetted.
Vinh Ly
Staff Software Engineer specializing in scalable full-stack FinTech systems
“Full-stack/backend engineer with recent hands-on experience building an AI-powered AML/KYC platform for financial institutions, spanning Go/Python backend services, real-time risk pipelines, and React/TypeScript analyst dashboards. Stands out for measurable compliance-tech impact: 94% fewer false positives, review times reduced from days to hours, and microservices processing 10,000+ transactions per second.”
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.”
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.”
Staff Software Engineer specializing in distributed systems and AI infrastructure
Senior Full-Stack Engineer specializing in Python APIs and cloud platforms
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.”
Senior Backend Engineer specializing in AWS cloud-native systems and data workflows
Staff Software Engineer specializing in FinTech and distributed systems
Senior AI Engineer specializing in LLMs, generative AI, and ML systems
Senior Software Engineer specializing in backend, distributed systems, and cloud platforms
Staff Software Engineer specializing in large-scale commerce and payments
Staff DevOps Engineer specializing in SRE, Kubernetes, and hybrid cloud platforms
Senior Software Engineer specializing in backend systems and data infrastructure
Senior Software Engineer specializing in AI, cloud, and data platforms
Executive AI Founder & CEO specializing in LLM agents, data engineering, and regulated healthcare markets
Mid-level Software Engineer specializing in backend systems, analytics, and FinTech
Executive business & product operations leader specializing in AI, growth, and venture-backed scaling
Staff Software Engineer specializing in data platforms, distributed systems, and AI workflows
Senior Full-Stack Engineer specializing in integrations, microservices, and data platforms