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Vetted Business Analysts in the Bay Area
Pre-screened and vetted in the Bay Area.
Executive Founder-Operator specializing in AI-native products, operations, and GTM
Mid-level Business Analyst specializing in data analytics and financial systems
Mid-level Account Manager specializing in Mid-Market SaaS expansion and renewals
Aashish Gururaj
Mid-level Supply Chain & Program Management Analyst specializing in procurement and analytics
“Tesla sourcing/supplier readiness professional focused on critical lithium-ion battery components, owning end-to-end supplier onboarding and delivery execution. Uses SQL and Power BI to run integrated readiness plans across samples/approvals/tooling and proactively mitigates cost and import-duty risks while improving supplier performance through structured execution cadences.”
Senior Product/UX Designer specializing in enterprise UX, AI, and modern interfaces
Intern Machine Learning Engineer specializing in LLMs, retrieval, and vision-language models
Junior Research Analyst specializing in deeptech venture sourcing and technical diligence
Akshay Danthi
Senior AI Engineer specializing in production GenAI systems
“AI engineer who has shipped production LLM systems end-to-end, including a natural-language-to-SQL analytics copilot for career advisors that achieved ~95% query success through schema grounding, access controls, and automated regression testing with golden queries. Also builds LangGraph-orchestrated multi-step agents (resume analysis, recommendations) and RAG pipelines (PDF ingestion + FAISS) and partners closely with non-technical users to drive adoption and trust.”
Senior Customer Success Manager specializing in strategic account management and renewals
Mid-level Business Analyst specializing in data analytics and BI
Mid-level Account Executive specializing in B2B sales and healthcare strategy
Aditya Chache
Junior Business & Solutions Analyst specializing in data integration and product migration
“Data/QA-focused professional with experience at Lonza and Jio Platforms, owning end-to-end data reliability work for QC forecasting (SAP/LIMS) and driving root-cause/corrective actions for recurring environment configuration issues. Strong in SQL-based data standardization/validation, requirements tightening for API consistency, and coordinating multi-workstream delivery using Jira/Azure DevOps.”
Somil Shah
Mid-level AI/ML Engineer specializing in generative AI, RAG platforms, and LLM agents
“AI/LLM engineer who has shipped 10+ production applications, including InvestIQ on GCP—a production-grade RAG due-diligence engine that ethically scrapes web/PDF sources, builds a ChromaDB knowledge base, and delivers analyst-style dashboards plus a citation-backed chat copilot. Deep focus on reliability (evidence-only answers, hard citations, refusal gating), retrieval tuning, and orchestration (Airflow/Cloud Composer), plus multi-agent systems (CrewAI with 7 specialized finance agents).”
Jeevan Satish
Mid-level Business Analyst specializing in healthcare and enterprise technology
“Analytics professional with healthcare experience at United Health Group, focused on turning messy claims and transaction data into reliable reporting assets. They combine SQL, Python, and Power BI to automate analysis, define operational KPIs, and build dashboards that improved stakeholder visibility and helped reduce processing time by about 22%.”
Mid-level Business Analyst specializing in healthcare systems, Salesforce, and SAP
Mid-level Business Systems Analyst specializing in healthcare and insurance technology
David McGrouther
Senior Solutions Engineer specializing in SaaS demos, technical validation, and customer-facing engineering
“Solutions Associate / technical support professional with experience assessing and fixing multi-script JavaScript issues, providing timelines, and managing scope changes with customers. Has supported customers by diagnosing recurring campaign issues, running technical demos with stakeholder feedback loops, and enabling self-service so customers can resolve problems independently.”
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.”