indian retail investors spend 4–5 hours daily chasing noise across 100+ sources.
niveshak replaces all of that with
one intelligent feed,
portfolio-mapped alerts in under 60 seconds,
powered by a live AI knowledge graph.
I'm the Co-Founder and CTO of Niveshak - India's most intelligent AI-powered stock market platform. I build the full stack: a real-time knowledge graph that maps 500+ Indian companies to sectors, supply chains, and global macro triggers, delivering sub-60-second portfolio-mapped alerts to retail investors.
Before Niveshak, I was Lead Developer at SchoolDiary, building high-transactional financial systems in .NET and React that served 80,000+ users across 18 branches. I've shipped 250+ REST APIs, migrated 1.8M lines of legacy code, and owned end-to-end delivery from schema design to production deployment.
I don't just write code. I architect systems that are clean, fast, and built to last. Whether it's a knowledge graph engine, a real-time alert pipeline, or a live market data feed - the standard is always the same.
“The best products aren't built by people who write code. They're built by people who understand the problem.”
NIVESHAK
ECOSYSTEM
AI-powered stock market intelligence for Indian retail investors. Sub-60-second portfolio-mapped alerts, live NSE/BSE data, FII/DII tracking, earnings intelligence, and a knowledge graph that propagates macro events through your holdings.
500+ waitlist · NSE + BSE · Freemium
A public market intelligence platform delivering stock analysis, weekly digests, and financial briefs for retail investors who want signal, not noise. Full CMS, structured post system, subscription-ready architecture.
Live · Public · Content platform
SELECTED
PROJECTS
A real-time chat application with WebSocket-powered messaging, user authentication, and persistent chat history. Express + Mongoose backend, React + Vite frontend, containerised with Docker.
Real-time bidirectional communication via Socket.io. MongoDB for message and user persistence. Full-stack monorepo with separate client, server, and web packages. Dockerised for consistent deploys.
A GitHub-style real-time collaborative code editor. Multiple users. File versioning. Live commits. Built with Supabase for real-time sync and PostgreSQL for structured version history.
OAuth authentication, Monaco Editor with multi-language syntax highlighting, dynamic routing, shadcn/ui + Magic UI theme switching. Deployed on Vercel with zero-config CI.
A competitive real-time typing platform with live multiplayer sessions, WPM tracking, and precision analytics. 150+ sessions daily. 99.7% measurement accuracy. 99.8% uptime on Cloud Run.
Containerised with Docker, deployed on Google Cloud Run. Real-time multiplayer via Socket.io. Responsive Tailwind CSS UI that works perfectly on every screen size.
A mobile application that generates individual and bulk invoices on demand, automated, formatted, and exported in seconds. Built for a freelance client whose business needed to stop doing billing manually.
Billing time reduced from hours to seconds. Supports bulk invoice generation across all clients in a single action. SQLite backend handles invoice history, product catalog, and client records with full integrity.
founder
Co-founded InsightFolks and lead all engineering for Niveshak - India's most intelligent AI-powered stock market intelligence platform purpose-built for retail investors in the NSE/BSE ecosystem.
Architected a real-time AI knowledge graph of 500+ Indian companies, mapping sector exposure, raw material dependencies, supply chain linkages, and global macro triggers to auto-propagate event impact across holdings.
Built a sub-60-second intelligence pipeline: from NSE announcements, earnings filings, FII/DII data, and macroeconomic events to structured, portfolio-mapped alerts delivered to users - fully automated.
Engineered the Go-based backend (Gin, PostgreSQL, Redis) handling live market data from NSE/BSE, Dhan broker API integration for real-time OHLC charts, and caching layers for high-throughput quote feeds.
Designed and shipped Niveshak Briefs - a public market intelligence web platform (React + FastAPI + PostgreSQL) serving stock analysis, weekly digests, and structured financial posts.
Managed Firebase-hosted mobile app (React Native) with WhatsApp OTP authentication, smart watchlist, FII/DII tracking, bulk/block deal feeds, and India VIX charting.
500+ users on the early access waitlist; freemium model with INR-denominated monthly and annual plans currently in pre-launch.
full-time
Architected a 55K LOC financial management system in ASP.NET MVC (C#) and MS SQL Server, covering fee invoicing, payments, admissions, and OTC Bank API integration across 18 branches and 30K+ students.
Implemented complex financial business logic: sequential fee validation, automated late fee surcharges, and discount computation via Quartz.NET workers.
Built and maintained AngularJS-based frontend modules for admissions, fee management, and reporting dashboards integrated with PostgreSQL-backed analytics pipelines.
Engineered 250+ REST APIs for admissions, fee collection, and multi-branch financial reporting, ensuring high availability and reliability for 80K+ end users.
Designed normalised MS SQL Server schemas and wrote complex stored procedures for financial reporting, audit trails, and real-time payment tracking.
Led migration of a 1.8M+ LOC legacy ASP.NET MVC (.NET 4.x) codebase to .NET Core, improving API performance by 37% while preserving financial business logic integrity.
TALK
NIVESHAK.
if you're an investor or incubator interested in the future of retail financial intelligence in india — i'd love to connect.