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Vetted Founders in the Bay Area
Pre-screened and vetted in the Bay Area.
Senior Data Scientist / Machine Learning Engineer specializing in production AI systems
Junior Project Manager specializing in Gen Z marketing, brand strategy, and UX
Staff Machine Learning Engineer specializing in LLM agents and ML systems
Senior Product/UX Designer specializing in enterprise UX, AI, and modern interfaces
Executive B2B marketing leader specializing in high-tech SaaS growth
Prateek Patil
Engineering Leader specializing in Digital Health, AI, and Cloud Platforms
“Senior Engineering Manager at Roche leading two Scrum teams building internally shared (“inner-sourced”) tools and libraries for a healthcare enterprise. Has led security/compliance-first architecture decisions (e.g., Python AI modules running inside a Java container) and front-end modularization (Angular monorepo to module federation), with a strong focus on developer experience via automated Swagger/OpenAPI documentation and robust testing/versioning practices.”
jitender Hooda
Executive Client Partner specializing in engineering and digital services
“Founder building an agentic AI-based low-code platform for B2B enterprise applications, validated through enterprise client conversations and delivered via rapid paid MVP/POCs. Platform has seen production traction (6–7 apps, 1000+ daily users) and includes capabilities like QR scanning integrated with ERP/PLM systems. Experienced in business development and client relationships, with a pragmatic, ROI- and speed-focused approach to product and GTM under tight capital constraints.”
Thomas To
Mid-level Full-Stack Engineer specializing in AI/ML data platforms for biotech and FinTech
“AI/ML full-stack practitioner in a small-scale manufacturing/lab operations environment who deployed a production ML system to improve blood cell order fulfillment by predicting yield/success from donor characteristics. Experienced building custom multi-agent orchestration (Python, LangChain/LangGraph, MCP) and balancing reliability, data quality constraints, and token/ROI economics while communicating tradeoffs to VP-level business stakeholders.”
Zack Pagano
Junior Full-Stack Software Engineer specializing in FinTech and data platforms
“Engineer in a highly regulated banking environment who has built both a full-stack digest product that cut notification volume 40% and an internal LLM-powered on-call assistant that reduced triage time by 30%+. Stands out for combining strong AWS/serverless and TypeScript architecture skills with careful AI safety, observability, and compliance-minded design.”
John Chen
Junior Full-Stack & Data Scientist specializing in ML/NLP and analytics products
“Built and deployed profitprops.io, a sports betting player-props prediction product using ML/AI. Implemented backend APIs with FastAPI/Express.js and Supabase, trained models on AWS GPU (P3) using Docker + RAPIDS, and set up CI/CD with GitHub Actions while working around cost constraints and data-collection hurdles (EC2 proxy rotation/rate limits).”
Senior Sales Engineer specializing in technical solution architecture
Executive Biotech & Cleantech Entrepreneur specializing in AI, nanotechnology, and regulatory strategy
Senior Performance Marketing Leader specializing in user acquisition and programmatic media
Mid-Level Full-Stack Engineer specializing in product UX and AI-powered interfaces
Executive Technology Leader specializing in AI, Cloud Platforms & Product Strategy
Executive VP of Engineering specializing in AI/ML and B2B SaaS
Executive engineering leader specializing in AI, FinTech, and cloud platforms
Bryan Holland
Executive AI Product & Controls Engineering Leader specializing in agentic video editing and EV systems
“Startup builder (MagicSeven) who designed and implemented a browser-based, agentic video editor end-to-end, including an AWS event-driven multimodal LLM “indexing” pipeline and an orchestration LLM agent for searching and manipulating footage. Demonstrates deep video file/codec knowledge plus practical production hardening of LLM workflows (format validation, plan/execute, S3-based state for debuggability).”
Emmanuel Ngalima
Mid-Level Software Engineer specializing in geospatial AI and cloud security automation
“Cloud engineer and cloud OS SME (Chevron) who productionized large-scale security remediation—using Tanium and Ansible to address CIS benchmark noncompliance across 5,000+ servers with robust logging and RCA handoffs. Also drives adoption of a geospatial AI refinery inspection product by consolidating siloed imagery into an enterprise geospatial database, and presents internally on agentic/LLM tooling (LangChain/LangGraph, LangSmith observability).”
Aniriddha Wakchaure
Director-level Sales & Partnerships leader specializing in multimodal and agentic AI
“Enterprise/technical seller with ~2 decades of complex sales experience, focused on high-ACV AI/robotics-style deals. Self-sourced and closed a robotics opportunity into a $500K paid pilot that expanded to $1M, coordinating NDAs and multi-party integrations across NVIDIA GPU/CUDA, camera, and VMS stakeholders. Also founded a startup and built early pipeline from scratch, leading a small sales team to close initial deals in a pre-revenue MVP stage.”
Jax Diagana
Senior AI Engineer specializing in forward-deployed voice agents and incident-response automation
“FDE at Bland.ai and founder of Fi (incident-response agent) who routinely takes LLM/agentic concepts from prototype to production. Has hands-on experience reverse-engineering undocumented systems to deliver integrations, building LLM testbeds for voice-agent reliability, and rapidly shipping RAG/semantic search solutions (e.g., Confluence runbooks) after deep customer discovery with DevOps/SRE teams.”