Hrishikesh S.

I build production-ready web apps, AI-powered workflows, internal dashboards, and automation systems using Next.js, React, Node.js, Express, MongoDB, and modern AI APIs. My work is strongest when a client needs more than a simple frontend. I can take an unclear product requirement, design the data model, build the backend, create the UI, connect third-party APIs, add authentication, test the critical flows, and get the app ready for real users. Recent work includes: - A full-stack AI finance platform for invoice ingestion, bank statement processing, Wise/Xero-style transaction workflows, financial dashboards, client portals, PDF generation, Google Drive/Sheets sync, and Claude-powered chat tools. - A production Next.js/MongoDB ideaboard for a creative studio, with Google OAuth, media uploads, Instagram/Apify-style sync, live SSE updates, drag-and-drop ordering, comments, link previews, and mobile-first UI. - A shared life-dashboard app in Next.js with MongoDB persistence, Google auth, multi-user data separation, AI companion tools, and a Hermes/code-agent integration for app-change workflows. - A local-first office search automation agent using Playwright, TypeScript, lowdb, TfL enrichment, image mirroring, Discord webhook digests, and a Next.js dashboard. - Discord bots and automation systems, including Carbon, a verified Discord bot used across 200+ servers with over 200,000 users. What I can help with: - Build MVPs and internal tools from scratch - Convert prototypes into real production apps - Add AI assistants, document extraction, and tool-calling workflows - Build MongoDB/Express/Next.js dashboards and APIs - Integrate Google OAuth, JWT auth, webhooks, Discord, Wise/Xero-style APIs, Apify, Playwright, and file uploads - Debug production issues, persistence bugs, streaming/SSE problems, deployment errors, and messy legacy code - Improve UX, mobile layouts, data models, tests, and app reliability I care about shipping apps that actually work in real workflows. I communicate clearly, move fast, test the risky parts, and think through edge cases before they become client problems.