I'm an engineering leader based in Chennai, India, with 17+ years of experience shipping production software, leading teams, and architecting systems from the ground up.
I currently lead engineering and delivery at Vriksha Techno Solutions, where I manage a team of 30+ engineers building SaaS products across real estate, automotive, food, finance, and healthcare domains.
In 2026, my focus is at the intersection of agentic AI and SaaS — integrating LLM-powered workflows into CRMs, messaging platforms, and business automation tools that real customers use every day.
📍 Based in Chennai · 💬 Let's chat about engineering, AI, or shipping things that work
An AI support agent you add to any website with one script tag.
- Answers visitors from the site's own pages — and says so when it doesn't know
- Hands over to a person when needed: live chat, audio call or video call
- One server, many clients: each gets their own agent, team logins, inbox and dashboard, with subscription plans
Node.js · Express · MongoDB · Claude API · WebRTC. Built by directing Claude Code as the coding agent — I owned the product decisions, testing and deployment. Private repository (commercial product) — demo available on request.
**Read the build story **---
- 🤖 Agentic AI in production — integrating OpenAI APIs into CRMs, WhatsApp Business platforms, and operational tools. Prompts, RAG, evals, the whole stack.
- 🏗️ SaaS architecture at scale — multi-tenant CRM systems, messaging infrastructure, and operational platforms serving thousands of users.
- ☁️ Cloud-native systems on AWS — designing with Lambda, S3, EC2, and serverless patterns. Currently certifying with AWS Solutions Architect Associate.
- 📱 Cross-platform mobile — Flutter apps shipping on iOS and Android.
- 👥 Engineering leadership — hiring, mentoring, sprint cadences, code review culture, and shipping things on time without burning teams out.
- 📄 "A Governance-Driven Framework for Adopting Agentic AI in Software Engineering Organisations" — submitted to IEEE AIEI 2027
- 🧪 Agentic AI Benchmark — open-source benchmark for evaluating AI coding assistants on production-context tasks
- 📚 Google Scholar
Backend: TypeScript, Node.js, NestJS, PHP, Laravel Frontend & Mobile: React, Flutter, JavaScript Cloud & Infra: AWS (Lambda, EC2, S3), Git, CI/CD Data: MySQL, REST APIs, integration platforms AI: Anthropic Claude API, OpenAI APIs, coding agents (Claude Code), prompt engineering, RAG, agentic workflows Integrations: WhatsApp Business API, Meta Lead Ads API
Most of my code lives in private repositories — it's client work I don't own the rights to publish. What you see here is a sliver, not the whole picture.
If you'd like to discuss specific architectures I've built, AI implementations I've shipped, or what 30 engineers shipping concurrent SaaS products actually looks like day-to-day — reach out on LinkedIn. Happy to walk through it.
- AWS Solutions Architect Associate (certifying existing experience)
- Advanced agentic AI patterns — multi-agent orchestration, tool-calling at scale
"The AI is 10% of the stack. The other 90% is plumbing — and the plumbing is what makes it work in production."