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Vetted Engineering Professionals in the Bay Area
Pre-screened and vetted in the Bay Area.
Popular Titles
Senior Backend/Automation Engineer specializing in cloud-native systems and test automation
Senior Backend/Platform Engineer specializing in security, FinTech, and distributed systems
Senior Full-Stack Software Engineer specializing in e-commerce and AI
Junior Full-Stack & iOS Developer specializing in distributed systems and mobile apps
Mid-Level Full-Stack Software Engineer specializing in scalable web apps and FinTech systems
Mid-Level Software Developer specializing in full-stack web and React Native apps
Junior Full-Stack Engineer specializing in React/Node and AI-powered web apps
Senior Salesforce Sales Operations Specialist specializing in CRM administration and CPQ
Senior Software Engineer specializing in React, Meteor, and test automation
Mid-level QA Engineer specializing in API testing and email security SaaS
Junior Software Engineer specializing in Python, APIs, and SQL performance tuning
Mid-Level Full-Stack Software Engineer specializing in edtech and adaptive learning systems
Senior QA Engineer specializing in automation, API testing, and data quality validation
Senior Full-Stack Developer specializing in Azure cloud-native microservices
Junior Software Engineer specializing in full-stack AI/ML forecasting and embedded systems
Aidan O'Hare
Junior Robotics & Controls Engineer specializing in SLAM and multi-robot systems
“Robotics software engineer with deep ROS/ROS 2 experience spanning both simulation and real hardware. Led a Master’s thesis building a decentralized multi-robot control stack in ROS 2 (Isaac Sim + Nova Carter), implementing nonlinear MPC (casADI) and RRT* planning with SLAM/3D LiDAR, and tackled tricky frame-convention integration issues. Previously built an autonomous quadruped for first responders (PACRR), integrating LiDAR/RGB-D/IMU sensors and tuning navigation behavior through iterative field testing.”
Santhi Sampath Gamidi
Mid-level AI Engineer and Data Scientist specializing in LLM agents and RAG systems
“Built a production-grade LLM evaluation and regression system that stress-tests models across hundreds of iterations, combining LLM-as-judge, semantic similarity, statistical metrics, and rule-based checks, with results delivered via stakeholder-friendly HTML reports and dashboards. Experienced orchestrating multi-agent RAG workflows using LangChain/LangGraph and event-driven GenAI pipelines in n8n integrating OCR, speech-to-text, and external APIs, with strong emphasis on reliability, observability, and explainable failures.”
Yash Pokharna
Intern Software Engineer specializing in backend systems, cloud, and AI agents
“Built and productionized an LLM-based appointment management agent, implementing RAG with Redis and LangGraph plus multi-agent intent handling and rule-based conflict guardrails to prevent double-booking under high load. Experienced in real-time diagnosis of agentic workflow failures using logs/traces and state inspection, and in driving adoption via interactive developer demos and sales-aligned custom customer scenarios.”