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 full-stack messaging workspace for direct and group conversations, live presence, rich messages, file sharing, and persistent history.
Socket.IO rooms and live typing presence
Next.js, Express, and MongoDB
Docker and automated Azure deployment
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 typing platform for instant guest tests, focused solo practice, live multiplayer rooms, measurable progression, and social play.
Guest tests, solo practice, and live rooms
PostgreSQL schemas managed with Drizzle
One Next.js and Socket.IO runtime on Azure
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.