The Backstory

I was born and brought up across 4 different cities and 8 different schools. The constant moving meant I learned early how to drop into a new environment, figure out how it works, and get on with it. Since 2021, I’ve based myself in Bangalore — the first time I’ve stayed put long enough to actually call a place home.

Tech has been the through-line my whole life. My early discovery years were all Python and Raspberry Pi — wiring things up, breaking them, fixing them, the whole gloriously frustrating loop. Somewhere along the way, life pulled me in other directions and I lost touch with programming for a long stretch.

Then AI happened.

Coming back to building — this time with AI agents instead of bare-metal Python scripts — has been one of the most rewarding stretches of learning I’ve ever been on. The leverage is unreal. The pace is unreal. And the gap between what businesses think AI can do and what it actually can do, today, in production, is enormous.

That gap is what I’m here to close.

What I Was Doing Before

Until recently, I was at a startup that upskilled working professionals in AI — designing structured programs ranging from weeks to months, for coders and non-coders alike. I watched hundreds of professionals go through the journey of understanding what AI could do.

And that’s exactly the problem I kept running into.

Everyone was learning AI. Almost nobody was deploying it. Companies would send their teams through courses, tick the “AI readiness” box, and go right back to running their operations the old way — manually, slowly, expensively.

I didn’t want to keep teaching people what AI could do. I wanted to show businesses what AI will do — by building it for them.

So I resigned. Not to take a break. Not to “explore opportunities.” To go directly to the businesses that are drowning in repetitive work and wire AI into their operations — today, not after another six months of upskilling.

What I Do Now

I build agentic workflows — AI systems that don’t just assist, but execute. Multi-step, context-aware, decision-making automations that replace hours of manual work with minutes of intelligent processing.

My toolkit:

• Claude Code for intelligent task execution and code generation
• Browser automation for web-based workflow automation
• Google Workspace & API integrations for connecting your existing tools
• Custom agentic pipelines that chain multiple AI capabilities together

My Approach

I don’t believe in over-engineered solutions. I believe in:

1. Starting with the bottleneck — finding the one process that’s eating your team’s time
2. Building fast — deploying a working automation in days, not months
3. Iterating with you — refining until it runs like clockwork

Why This Matters

The gap between “AI-aware” and “AI-powered” is where most businesses are stuck right now. They’ve read the articles. They’ve sat through the webinars. They might have even completed a course.

But their operations? Still manual. Still slow. Still expensive.

I’m here to close that gap. One workflow at a time.

Let’s talk