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Vetted Founding Engineers in the Bay Area
Pre-screened and vetted in the Bay Area.
Mid-level Software Engineer specializing in backend systems and AI voice platforms
Harshal J Hirpara
Mid-level Machine Learning Engineer specializing in LLM alignment and applied reinforcement learning
“AI/LLM engineer who has shipped production systems end-to-end, including a note-taking product (Notey) combining audio/image capture, ASR, summarization, and a semantic chat agent over past notes. Also has applied ML experience in healthcare, collaborating directly with doctors to validate an EEG seizure-detection pipeline, and uses Kubernetes to optimize GPU usage for LLM training.”
Tao Chen
Senior Full-Stack Engineer specializing in AI-powered web products
“Backend/data engineer who has built production AI video generation services on AWS using a hybrid serverless + container architecture (FastAPI, Lambda, ECS, Postgres/Redis) with strong reliability practices (auth, retries/timeouts, structured logging, CloudWatch + Slack alerting). Also delivered AWS Glue ETL pipelines with schema evolution handling and modernized a legacy SAS healthcare reporting workflow to Python with parity validation and parallel-run migration.”
Junior AI Engineer specializing in agentic workflows, RAG, and voice AI
Mid-Level Full-Stack Developer specializing in React/Node.js and GCP deployments
Mid-Level Full-Stack Software Engineer specializing in scalable web apps and AI workflows
Senior Backend/Platform Engineer specializing in security, FinTech, and distributed systems
Junior Software Engineer specializing in full-stack AI/ML forecasting and embedded systems
Maniya Kohli
Mid-level Software Engineer specializing in AI agents, marketplaces, and backend systems
“Founding engineer at an early-stage agent marketplace who built the core job lifecycle, live run viewer, and LLM-based verification/settlement flow that gated escrow release. Also worked on a multi-agent diagnostic system using a blackboard architecture with specialized models, structured outputs, and human-in-the-loop review—showing unusual depth in both product engineering and applied AI systems.”
Areeb Abbasi
Mid-level Full-Stack AI Engineer specializing in deployed LLM agents and RAG systems
“Built a real-time AI meeting assistant using a Chrome extension that streams audio to a backend LLM workflow with transcription and RAG, then hardened it for production with queue-based streaming, async pipelines, security controls, and full observability. Also has hands-on startup sales experience, partnering with customers to define measurable technical win conditions (latency/accuracy) to close deals and drive adoption.”
Mid-Level Full-Stack & Mobile Engineer specializing in AWS and FinTech
Junior Software Engineer specializing in mobile apps, AI, and FinTech
Mid-level Realtime AI Systems Engineer specializing in voice and streaming infrastructure
Krystal Galdamez
Junior Full-Stack Engineer specializing in AI-powered web applications
“Startup-focused engineer who has shipped Python backend features, AI integrations, and Playwright automation for products including an AI coaching platform and hiring workflow tools. Stands out for working through ambiguous zero-spec environments, hardening flaky Firebase-authenticated test flows, and designing practical fallback paths when AI outputs are unreliable.”
Mid-level ML & Full-Stack Engineer specializing in LLM systems and RAG
Junior ML Engineer specializing in search, retrieval, and recommendation systems