Vetted React Hooks Professionals

“Frontend-leaning engineer at Exchange Lodge who recently took over an entire system end-to-end after team attrition, expanding into backend and platform ownership. They modernized a JSON-driven UI platform into a TypeScript/Angular microfrontend architecture, reporting an ~85% productivity gain, and also rebuilt documentation and developer workflows into a monorepo with AI-friendly Markdown and Mermaid diagrams.”

Xinyu Li

Screened

Junior Software Engineer specializing in backend systems and AI/LLM RAG platforms

San Jose, CA2y exp

“Full-stack engineer who built and operated a data-driven analytics platform using Next.js App Router/Server Components and TypeScript, owning post-launch monitoring and performance/stability work. Demonstrated measurable wins in analytics performance (e.g., cutting query latency from ~1s to ~200ms) through indexing, query-plan analysis, and precomputation/caching, and has experience designing durable multi-step backend workflows with retries, idempotency, DLQ, and time-correct ordering.”

Shrutika Chawla

Screened

Senior Full-Stack Developer specializing in React/React Native and SaaS platforms

Edmonton, AB7y exp

“Frontend engineer who has led end-to-end delivery of a climate-risk visualization/financial impact web platform using micro-frontends (Webpack Module Federation), a shared MUI design system, and React Query server-state to keep independent modules consistent and performant. Also improved a complex rules-heavy document editor (Crove.app) by eliminating input lag with memoization + Web Workers and introducing a headless rendering engine reused across products, with disciplined rollout via feature flags and Sentry monitoring.”

“Senior frontend engineer who led end-to-end delivery of a large ecommerce platform at Foschini Group and built a complex healthcare operations dashboard for UK-based Ceracare. Strong in React/TypeScript/Next.js architecture, design systems, and performance at scale, with a pragmatic approach to state management (React Query/Redux) and quality (Storybook + testing + code reviews).”

“Backend/Node.js-focused engineer who improved a widely used shared config/logging utility library by fixing a real-world async race condition (single disk read under concurrency) and adding stronger validation/testing, resulting in more deterministic services and faster startup/build/CI times. Also builds internal platform automation spanning Python/Go/TypeScript with strong documentation practices and security-conscious customer onboarding (e.g., sensitive Kubernetes clusters, HashiCorp Vault access issues).”

“Front-end engineer with strong experience building high-performance browser UIs for financial professionals, especially complex onboarding flows and real-time data dashboards in React. Stands out for combining browser-level performance tuning, asynchronous architecture expertise, and measurable business impact, including 30% faster onboarding and 15% higher client satisfaction; also brings Angular/C#/D3 experience from higher-ed analytics platforms.”

“Backend/data platform engineer who owned an enterprise Django REST + PostgreSQL reporting backend and built Python ETL pipelines to normalize 3M+ legacy customer records, improving data reliability by 85%. Strong Kubernetes/GitOps practitioner (Helm, ArgoCD, Jenkins/GitHub Actions) with real-world production debugging experience, plus Kafka streaming at 5M events/day and a zero-downtime monolith-to-event-driven microservices migration on AWS that cut infra costs by 42%.”

“Full-stack engineer who built a live-streaming edtech platform at KratosIQ, owning the entire frontend and the backend streaming layer. Notably migrated the system from a P2P mesh to an SFU architecture to handle scaling under heavy load, and delivered measurable React performance gains (450ms to 40ms render time) validated via Lighthouse and web vitals.”

Tarun Gowda

Screened

Mid-level AI Engineer specializing in Generative AI and multimodal RAG

Morristown, NJ3y exp

“Full-stack engineer who helped build and launch an internal genAI platform called GAIL, supporting multiple LLMs, confidential document upload for RAG pipelines, and collaborative chat. Worked across FastAPI, React/TypeScript, AWS/DynamoDB, and Azure, with notable ownership of backend RAG logic, MCP integration architecture, and frontend fixes that improved chat usability.”