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Vetted Full Stack Engineers in California
Pre-screened and vetted in California.
Darshan Togadiya
Mid-level Full-Stack Engineer specializing in cloud-native web apps
“Full-stack engineer in an early-stage startup who built an EV charger monitoring and payments dashboard from scratch, owning UI/UX (Figma), React frontend, Node/Postgres APIs, and production deployment/ops (Firebase + AWS). Demonstrated measurable impact (40% fewer reconciliation errors) and strong reliability chops through multi-source energy/payment ingestion, idempotent pipelines, and CloudWatch-driven incident resolution.”
Jiaqi Duan
Mid-Level Full-Stack Engineer specializing in AI agents and RAG systems
Manav Pragnesh Vakharia
Junior Full-Stack Engineer specializing in AI agents and search automation
Pragadeeshkumar Rajavel
Senior Software Engineer specializing in backend, data infrastructure, and robotics platforms
Jerry Liu
Mid-level Full-Stack Engineer specializing in web apps and LLM integrations
Eric Shreve
Senior Software Engineer specializing in backend systems and cloud automation
Bryan Chavez-Gonzalez
Mid-Level Full-Stack Engineer specializing in AWS, data pipelines, and SaaS analytics
Anmol Sansi
Mid-level Full-Stack Software Engineer specializing in cloud backends and applied AI
Eris Verne
Senior Full-Stack Engineer specializing in serverless AWS and IoT products
“Founding engineer with strong end-to-end product delivery across IoT + mobile + serverless cloud: built firmware for a Bluetooth-connected device (ESP32), a native Swift iOS app, and an AWS serverless backend (API Gateway/Lambda/SQS/SNS/DynamoDB) including payments via Stripe. Also shipped a separate startup product in 6 months: a React visual tool that generated HTTP/REST APIs with a Django backend, admin panel, and a code-generating CLI.”
Sangat Shah
Mid-Level Full-Stack Engineer specializing in AWS serverless and React/Node.js
“Backend engineer who built and evolved a serverless AWS platform for large-scale live screening events with real-time chat/feedback and streaming (API Gateway/Lambda/DynamoDB/WebSockets/IVS, IaC via Pulumi). Led production refactors and phased migrations using feature flags and dual-write strategies, and has hands-on experience implementing JWT auth, RBAC, and database-enforced row-level security for multi-tenant systems.”
Ruchitha Pellakuru
Mid-level Full-Stack Software Engineer specializing in scalable web platforms on AWS
Saransh Gupta
Senior Full-Stack Engineer specializing in product-led FinTech and scalable web platforms
Jonathan Ghebrial
Junior Full-Stack Engineer specializing in web platforms and OCR/ML document pipelines
Sohitha Kommineni
Mid-level Full-Stack AI Engineer specializing in LLM automation and scalable APIs
Shubham Patil
Junior Full-Stack Engineer specializing in React/Node and AI-powered web apps
Eris Verne
Senior Full-Stack Engineer specializing in serverless AWS and IoT products
Saransh Gupta
Senior Full-Stack Engineer specializing in growth, analytics, and funnel optimization
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.”
Devanshi Desai
Mid-level Full-Stack Engineer specializing in Java/Spring, React, and AWS cloud platforms
“Full-stack/product-leaning engineer in logistics and high-traffic portals who ships production AI features: built an AI-assisted shipment status Q&A system using Pinecone + GPT-4 and a high-volume Python ingestion pipeline (500K+ records/day), delivering 35% fewer support tickets and cutting resolution time from 11 to 4 minutes. Also led a legacy Angular-to-React/TypeScript rebuild that boosted Lighthouse performance from 60 to 90, and has hands-on AWS EKS operations experience including resolving a 3x traffic scaling incident.”