Vetted Next.js Professionals

YASH CHAUDHARI

Screened

Mid Frontend Engineer specializing in React and FinTech platforms

Kalyan, India3y exp

“Full-stack engineer with strong fintech/product experience who built a credit/account-summary domain end to end as a microservice, integrating multiple backend services and deploying it across 13+ countries. They also shipped an OpenAI-powered financial assistant with token streaming, context grounding, production monitoring, and human-in-the-loop safeguards for sensitive debt guidance.”

Rohit Viswakarma Pidishetti

Screened

Mid-level Full-Stack Engineer specializing in real-time frontend systems

New York City Metropolitan Area, USA5y exp

“Frontend-leaning full-stack engineer who built and largely owned YAARI, a browser-based social media platform with real-time interactions, media handling, and AI-based content validation. Stands out for combining React performance tuning, real-time UX design, and security-conscious backend integration in a complex consumer-style application.”

Jonathan Lee

Screened

Director-level Engineering Leader specializing in agentic AI systems

Austin, TX19y exp

“Engineering leader and hands-on architect who built a team from scratch and owned everything from architecture and security to DevOps and deployment. Has led sophisticated AI/agentic systems in legal-tech and operations, including demand-letter automation, news/content generation, and human-in-the-loop fax routing, while also guiding major infrastructure and enterprise telephony transitions.”

“Full-stack/backend engineer with recent hands-on depth in Go, Python, React, and TypeScript, spanning telehealth, banking, and B2B workflow platforms. Particularly compelling for startup and scale-up environments: rebuilt core telehealth services to restore provider trust and support 150% user growth without adding servers, and has also delivered large-scale banking and compliance-sensitive systems in production.”

“ML engineer with hands-on experience building production AI systems spanning agentic AI, RAG, LLM automation, fraud detection, and predictive analytics. At Origami Risk, they designed and implemented an enterprise RAG platform end to end using LangChain, LangGraph, vector search, and AWS Bedrock to improve internal knowledge retrieval, reduce manual effort, and raise response quality across teams.”

Jimmy Hou

Screened

Junior Software Engineer specializing in full-stack and mobile app development

Remote, USA3y exp

“Frontend engineer with hands-on experience building a production education event management platform in React and TypeScript at MassInsight. Their examples center on practical product features like CSV-driven bulk email invites, Supabase-backed account flows, dashboard visualizations, and performance optimization for very large data tables using pagination and virtualization.”

YESHA BHAVSAR

Screened

Intern Software Engineer specializing in full-stack and AI applications

Alpharetta, GA0y exp

“Built and deployed an "AI Closet" application as a personal product, owning full-stack and applied AI features end to end. Particularly interesting for recruiters because they combined Next.js/TypeScript product engineering with practical AI systems work, including OpenAI vision-based smart form fill, personalized recommendation learning, and a grounded RAG application with evaluation and regression testing.”

“Full-stack JavaScript builder who shipped a daily-blog production system end-to-end (React + Express), containerized with Docker and deployed to AWS EC2. Implemented cron-based daily workflows, WebSocket-driven real-time updates, and production-minded reliability practices like retries/backoff, idempotency via deduplication, and basic logging/monitoring.”

Pawan Tiwari

Screened

Senior Frontend Engineer specializing in real-time data and AI-powered interfaces

Bangalore, India5y exp

“Frontend-leaning product engineer who repeatedly operates across the stack, from React/TypeScript architecture to backend eventing, caching, and real-time systems. They describe measurable wins in high-scale operational products—cutting invoice download time by ~99%, stabilizing 100k+ daily-query dashboards to 200ms, and building internal platform tooling including an AI infrastructure agent adopted by 50+ engineers.”

Andrés Minaya

Screened

Senior Unity Engineer specializing in game development and interactive UI systems

California, USA8y exp

“Unity engineer with unusually broad hands-on depth across procedural systems, VR, multiplayer networking, and AI/LLM integrations. They’ve built production-facing pipelines that connect APIs, JSON, Photoshop assets, and Unity runtime systems, and have shipped cross-platform experiences including Quest 2, Vive, and WebGL. Particularly notable is their mix of gameplay engineering and workflow automation, from procedural map generation to PSD-to-Unity import tooling that improved collaboration with design.”

“Product/backend engineer from Revinate with experience in a startup-like SaaS environment, working on B2B tools for hotel managers. Stands out for hands-on performance optimization work that cut core service response times from roughly 800ms to about 300ms using Redis caching and database query improvements, alongside full-stack JavaScript/TypeScript and Python experience.”

Simon Ray

Screened

Senior Full-Stack Developer specializing in scalable backend and microservices systems

Virginia, USA8y exp

“Full-stack engineer with strong Go/React experience who built a property management MVP from scratch as the only engineer at a pre-seed startup, owning everything from architecture to deployment. Also brings fintech depth from a production AWS-based platform handling payments, transactions, and financial calculations that was later acquired by an IBM subsidiary.”

“AI/LLM engineer with crypto/social-data domain experience who built an end-to-end AI trading signals and analysis backend using Next.js, Inngest, Gemini, and Supabase, including real-time progress UX and robust rate-limit/reliability handling. Also published an MCP SDK on NPM for authenticated agent tool access and built autonomous Twitter-based AI agents; strengthened reliability at LunarCrush by adding CI-gated E2E testing across web and mobile (Cypress/Maestro).”