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Vetted Data Engineers in the Bay Area
Pre-screened and vetted in the Bay Area.
Director-level Data Platform Engineering Leader specializing in data governance and quality
Director-level Software Engineering Leader specializing in AI, Data Platforms, and Ads/FinTech
Senior Machine Learning & GenAI Engineer specializing in LLM systems and data pipelines
Mid-level Data Engineer specializing in cloud-native big data pipelines and analytics
Ritesh Somashekar
Mid-level AI & ML Engineer specializing in NLP, LLMs, and scalable ML systems
“AI/ML engineer with experience spanning Accenture healthcare NLP systems, academic research, and Apple on-device LLM integration. Stands out for owning regulated production pipelines end-to-end—from HIPAA-compliant clinical NLP and EHR integrations to incident prevention, experiment tracking, and optimized on-device inference with LLaMA 3.”
Senior Data Engineer specializing in payments and financial data platforms
Mid-level Software Engineer specializing in backend microservices, data pipelines, and QA
Mid-level Software Engineer specializing in data platforms and full-stack systems
Mid-level Data Engineer specializing in cloud lakehouse platforms (Azure/AWS/Snowflake)
Mid-level Machine Learning & Data Engineer specializing in MLOps and cloud data platforms
Mid-level Data Engineer specializing in analytics engineering, ML forecasting, and modern data stacks
Principal Big Data & Software Engineer specializing in Spark/Scala and GCP data platforms
Senior Data Scientist specializing in LLMs, NLP, and anomaly detection
Edwin Tse
Junior Data Engineer specializing in BI, governed metrics, and workflow automation
“Built and shipped LLM/OCR/NLP-driven document-intelligence workflows in operational environments (EnvoyX and UPS), emphasizing production readiness via explicit state-machine orchestration, confidence gates, and human-in-the-loop review. Demonstrated strong business impact in customs brokerage/document ingestion: 50% fewer customs rejects, 30% higher throughput, SLA adherence improved from 71% to 96%, and platform reliability reaching 99.6% with 78% fewer bad-data incidents.”
Yinghai Yu
Mid-level Data Engineer specializing in cloud data platforms and AI/ML pipelines
“Data-engineering-oriented candidate with hands-on experience building an agentic AI product and operational automation workflows. They described automating inventory-to-ERP discrepancy reconciliation with anomaly detection and daily reporting, and also have practical scraping/automation experience dealing with Cloudflare-protected sites using Selenium and Puppeteer.”
Pini Pur
Executive AI product and platform leader specializing in enterprise SaaS and applied AI
“AI product leader working at TAU Ventures Innovation Lab and previously at Verint and NYSHEX, with a track record of turning legacy and ambiguous AI opportunities into shippable, human-centered products. Notably led Verint’s evolution into a low-code AI orchestration platform with 20+ capabilities and measurable gains in CSAT, handle time, and recurring revenue, while consistently emphasizing trust, workflow fit, and human-in-the-loop design.”
Principal AI/ML Architect & Senior Data Scientist specializing in financial fraud and risk
Mid-level Data Engineer specializing in ML, OCR, and cloud-native pipelines
Mid-level Data Engineer specializing in ML-driven pipelines and cloud microservices
Principal Data Engineer specializing in petabyte-scale Spark pipelines on GCP
Mid-level AI/ML Engineer specializing in MLOps, real-time data platforms, and generative AI