Rohit R.

Most SaaS products don't fail because of missing features, they fail because the frontend can't keep up with the data, the UX breaks under real users, and AI gets bolted on as an afterthought rather than built into the architecture from day one. I build React and Next.js applications where performance, clean data flows, and AI integration are decisions made at the start not fixes added later. Where I typically get involved: SaaS dashboards and data-heavy interfaces that need real-time performance using React, Next.js, and WebSockets AI-integrated web apps connecting OpenAI, GPT-4, and LLM workflows into production-grade frontends Full stack builds with Node.js backends, REST APIs, MongoDB, and TypeScript across the entire codebase Web3 and DApp interfaces on Solana and EVM chains with MetaMask and WalletConnect integration Analytics platforms and interactive data visualizations using D3.js, Chart.js, Leaflet, and Mapbox How I work: I treat every project as a product, not just a ticket list. Before writing a single line of code I validate the architecture, data flow, and component structure so the codebase stays maintainable as it scales. Tech Stack: React | Next.js | Node.js | TypeScript | MongoDB WebSockets | REST APIs | OpenAI API | GPT-4 Integration D3.js | Chart.js | Leaflet | Mapbox | TailwindCSS Web3 | Solana | EVM | MetaMask | WalletConnect GitHub Actions | Core Web Vitals | Performance Optimization LLMs — GPT-4o, Claude 3.5, Gemini 1.5, LLaMA 3, Mistral Agent Frameworks — LangChain, LangGraph, CrewAI, AutoGen, Flowise, Langflow AI Coding Tools — Claude Code, Cursor, OpenAI Codex, Google Antigravity Vector Databases — Pinecone, Weaviate, Chroma, FAISS Automation — n8n, Make com, Zapier APIs — OpenAI API, Gemini API, Azure OpenAI, Anthropic API Languages — Python, Node.js, JavaScript Cloud — AWS, GCP, Azure If you need a React developer who owns the full stack and understands how AI fits into the product, let's talk. Rohit, ChicMic Studios Last Updated 04 June, 2026