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Vetted Data Engineers in the Bay Area
Pre-screened and vetted in the Bay Area.
Mid-level AI/ML Engineer specializing in generative AI and data engineering
Mid-level Software Engineer specializing in backend microservices and data infrastructure
Shamala Chandrappa
Mid-level AI Engineer specializing in agentic AI, LLM systems, and healthcare AI
“Healthcare-focused ML/AI engineer who has built production voice agents and clinical question-answering systems end-to-end, from experimentation through deployment, observability, and iteration. Particularly strong in making LLM systems reliable in real workflows via RAG, fine-tuning, guardrails, evaluation pipelines, and shared Python tooling; cites ~20% clinical QA accuracy gains and ~40% faster physician decision turnaround.”
Intern AI/Software Engineer specializing in backend systems, cloud infrastructure, and GenAI
Junior Data Engineer specializing in cloud data pipelines and warehousing
Mid-level Forward Deployed Engineer specializing in LLM agents and RAG/CAG systems
Mid-Level Software Engineer specializing in full-stack web and data engineering
Senior Software Engineer specializing in distributed systems and cloud data pipelines
Entry-Level Software Engineer specializing in full-stack, data engineering, and AI systems
kireeti Sangarsh
Mid-level Data Engineer specializing in cloud ELT pipelines and analytics engineering
“Data engineer who has owned end-to-end ELT pipelines on Airflow + AWS (S3/Glue/Lambda) with Snowflake/Redshift, processing millions of records per day and tens of GBs via PySpark. Built strong data quality and reliability practices (40% quality improvement, 99%+ uptime), and also designed a resilient web-scraping system with anti-bot defenses and schema-change versioning plus REST APIs for serving curated data.”