Vetted Full Stack Engineers in California

“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.”

“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.”

“Frontend-leaning full-stack engineer who owned end-to-end delivery for a high-traffic e-commerce web app (millions of monthly users), spanning UI enhancements, performance work, and third-party recommendation API integrations. Built a NestJS microservice integrated with Shopify to tag products (e.g., low stock/sale) and used queuing to handle high-volume order processing, plus created an internal CI/GitHub tool to surface test failures quickly.”

Zoe Meng

Screened

Mid-level Full-Stack Engineer specializing in React, Node.js, GraphQL, and TypeScript

Richmond, CA6y exp

“Full-stack engineer experienced in high-growth (seed to Series B/C) SaaS environments, with strong production ownership across performance, observability, and reliability. Has shipped Next.js App Router/TypeScript features and improved real-world UX metrics (e.g., virtualization boosting scroll from 30→60 FPS and reducing mobile bounce), optimized Postgres with indexing/EXPLAIN ANALYZE, and built idempotent payment/provisioning workflows using Temporal.”