Hey, I'm

MADAN HEGDE

I design and build scalable web applications and AI-powered tools, from idea to production.

React • Next.js • TypeScript • AI Systems

Currently building scalable workforce systems at PagarBook and AI knowledge infrastructure at Hearly.

View My Work ↓Get in Touch

Engineering Highlights

Key technical contributions across architecture, performance optimization, and product development.

Led Frontend for 100K+ Business HRMS Platform

Owned frontend architecture for Pagarbook's workforce management platform, serving over 100,000 SMB customers across India.

CRA → Next.js: 20% Better Core Web Vitals

Migrated a large production app from Create React App to Next.js, cutting LCP by ~20% through SSR, route-based code splitting, and image optimization.

Built Platform-Wide Component Library (Tailwind + Radix)

Designed and shipped a shared component library using Tailwind CSS and Radix UI, adopted across all product squads to standardize UI development.

30% Faster Builds: Webpack → Vite + Docker

Replaced the Webpack dev pipeline with Vite and containerised builds with Docker, reducing local build times by ~30% and CI cycle time significantly.

Payroll System: 80% Adoption in Month 1

Built the payroll management module from scratch. Reached 80% user adoption within the first month of launch across the existing customer base.

Built RAG-Powered Knowledge Platform with Paying Users

Designed and shipped a full RAG pipeline (pgvector, chunking, embedding, retrieval) powering an embeddable widget and npm package, with paying customers in production.

MH

MADAN HEGDE

Software Engineer & Product Builder

I design and build scalable web applications and AI-powered tools, from idea to production.

React • Next.js • TypeScript • AI Systems

Tech Stack

Core

ReactNext.jsTypeScript

Frontend Architecture

State Management (Redux, Zustand)Component LibrariesPerformance Optimization

Backend

Node.jsNestJSPostgreSQLFirebase

Infrastructure & Tools

DockerGitCI/CD Pipelines

Mobile

React Native

Experience

Nearly 7 years building production web systems, developer platforms, and AI-powered tools.

2025 — Present

Founder & Engineer @ Hearly

Founder

Building RAG-powered knowledge infrastructure for AI systems, with paying customers and an npm-distributed widget used in production.

  • Knowledge Platform

    • Built a RAG pipeline (ingest → chunk → embed → store → retrieve → rerank) backed by pgvector on Postgres. Chose pgvector over Pinecone to eliminate a managed-service dependency and keep latency under 200 ms.
    • Shipped an embeddable website widget and published @hearly-knowledgebase/widget on npm; developers integrate in under 10 minutes.
    • Connected the knowledge base to LLM chat completions via structured retrieval, powering paying customers in production.

  • Meeting Copilot (Earlier Product)

    • Built audio processing and structured extraction pipelines converting meeting recordings into summaries, tasks, and searchable transcripts.
    • Shipped real-time meeting intelligence features using WebSocket-driven UI.
AITypeScriptReactNode.jsnpm
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2022 — Present

SDE 3 @ Pagarbook

Led frontend architecture for a workforce management platform used by thousands of businesses.

ReactNext.jsTailwind CSSRadix UIDocker
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2022 - 2022

Frontend Engineer @ Scenes

Worked on interactive social experiences and real-time collaboration features for a creative platform.

ReactTypeScriptWebSocketCanvas API
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2020 — 2022

Co-Founder & CTO @ Digiyogi Technologies

Founder

Co-founded a technology startup and built the product from concept to launch.

ReactNode.jsFirebaseReact Native
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2019 — 2020

Frontend Engineer @ Learnyst

Built and maintained frontend systems for an ed-tech platform helping creators launch and manage their own teaching businesses.

ReactJavaScriptReduxSCSS
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What I'm Building

AI-first products I designed, built, and shipped: from RAG infrastructure to meeting intelligence.

HearlyHearly ecosystem
Hearly

Hearly Knowledge

AI Memory Layer

Hearly Knowledge - AI Memory Layer

A developer-focused RAG knowledge infrastructure that acts as a scalable memory layer for AI systems and chatbots. Connect documents, audio, and video into a structured knowledge base that AI applications can query in real time.

  • RAG pipeline: ingest → chunk → embed → store → retrieve → rerank
  • pgvector-backed semantic search (sub-200ms retrieval)
  • Memory layer for LLM-powered applications
  • Human-in-the-loop knowledge editing

Developer Integrations

  • Embeddable website knowledge widget
  • NPM package for direct integration
  • API-driven retrieval for AI agents
@hearly-knowledgebase/widget
Next.jspgvectorRAGEmbeddable WidgetsTypeScript
Visit AppHow I Built It
Hearly

Hearly

AI Meeting Copilot

Hearly - AI Meeting Copilot

AI-powered meeting intelligence platform that converts meeting audio into structured summaries, tasks, and searchable insights.

  • Automated meeting summaries
  • Task extraction from conversations
  • Interactive Q&A over meeting transcripts
Next.jsAI APIsAudio ProcessingReact Native
Visit App

Writing

Thoughts on frontend architecture, performance optimization, and building developer-focused products.

Lesser-Known JavaScript Features - Part 1

Exploring hidden JavaScript features that many developers overlook.

JavaScript
Read

Lesser-Known JavaScript Features - Part 2

Continuing the exploration of lesser-known but powerful JavaScript capabilities.

JavaScript
Read
View All on Medium

Engineering Philosophy

I believe great software should be:

Fast

Performance is a feature. Applications should feel instant and responsive.

Maintainable

Good architecture allows teams to move quickly without breaking systems.

Product-Focused

Engineering decisions should always align with real user problems.

Simple

Complex systems should feel simple to use.

Let's Connect

Have a project in mind, want to discuss an opportunity, or just want to say hello? I'd love to hear from you.

hegdemadan.g@gmail.com
Bengaluru, India