Vetted Vercel Professionals

“Frontend engineer with strong React/TypeScript depth who built a schema-driven onboarding platform in Next.js and Apollo GraphQL to support client-specific workflows without duplicating forms. Demonstrates solid performance instincts, having diagnosed and improved lag in a production cart/order dashboard using React DevTools Profiler, memoization, debounced filters, and state isolation.”

“Built and owned a zero-to-one AI knowledge workspace that turns chats and documents into a reusable structured section map, spanning React/TypeScript frontend, FastAPI backend, LLM pipelines, and cloud deployment. Also shipped a crypto scoring multi-agent system that combines market, GitHub, and on-chain signals, showing strong end-to-end AI product and orchestration experience.”

“Frontend-focused engineer operating at a staff level with experience at Amazon and startups, known for rescuing high-impact, frontend-heavy systems through architecture, performance, and quality improvements. Delivered outsized results including cutting load times from ~90s to ~3s, raising test coverage from <1% to >80%, and enabling multi-team adoption of modern state management via training sessions for 50+ engineers.”

“Full-stack engineer with startup experience who owned end-to-end features on Impact’s Hiring Solutions platform, including a hiring inbox spanning React UI and Postgres data models; the product helped drive 500+ jobs filled shortly after launch. Comfortable designing modern React/TypeScript + Node architectures (GraphQL, testing, migrations) and operating on AWS (RDS, EC2/Fargate, S3, Datadog, CircleCI). Also founded their own startup (Bibbr) and made early-stage stack/infrastructure decisions under high ambiguity.”

Eugeniu Cozac

Screened

Senior Frontend Engineer specializing in React/Next.js for enterprise FinTech and AI platforms

San Francisco Bay Area, CA10y exp

“Full-stack engineer with strong real-time and applied AI experience: built an internal AI “virtual subject matter expert” platform at Shell Energy serving ~1,800 employees with sub-200ms response streaming. Diagnosed AWS load balancer WebSocket disconnects and shipped reliability fixes (heartbeats, reconnect/backoff, session resume), and implemented AI production guardrails (eval suite, drift monitoring, confidence thresholds, citations, human-in-the-loop) that reportedly cut hallucinations by ~90%.”

“Full-stack engineer who has owned an AI-powered HTTP monitoring dashboard end to end, from Node.js/MongoDB backend and dashboard UI through deployment and reliability controls. Particularly strong in turning raw technical signals into usable AI-assisted product experiences, with concrete impact including ~60% faster anomaly detection and meaningful AI cost optimization.”

“Frontend-focused React/TypeScript candidate with hands-on experience building personalized product discovery and recommendation modules that balance relevance, performance, and maintainability. They show strong practical judgment around rendering optimization, responsive CSS, accessibility, and using DevTools/Profiler data to improve production UX.”

“Frontend/full-stack engineer currently at Intuit working on QuickBooks pricing and personalization experiences, where she is the sole developer for a production shopping widget on quickbooks.intuit.com. She combines strong React performance optimization skills with cross-functional product ownership, including integrating an ML-based SKU recommendation model and proactively shipping UX improvements like browser back-button support after winning stakeholder buy-in through a POC.”