ThinkerWave
Research arm · 2026
Sovereign AI research on self-evolving agent systems whose identity and evaluation criteria mutate generationally. Patent pending at the Indian Patent Office.
Founder, Thinkerwave AITech · Sovereign AI · AI Agents
$20M+
Annual recurring revenue at blackNgreen
5 → 160+
Enterprise customers grown over 13 years
290M+
End-users reached, across 4 continents
50+
Engineers across direct reporting structure
I'm the founder of Thinkerwave AITech Private Limited — an Indian AI company building ThinkerWave (self-evolving AI agents, patent pending), Torbi (AI-powered B2B prospecting), and a creator-intelligence platform.
Before founding Thinkerwave AITech, I spent 25+ years in production engineering — most recently as CTO at blackNgreen (2013–2026), which I grew from 5 enterprise customers to 160+, past $20M ARR and 290M+ end-users across 4 continents, and CTO at Nexiva (AI voice agents). MagicCall, shipped under my leadership, reached 14M+ downloads on Google Play.
The work that earns trust isn't the technology by itself — it's consistent delivery against measurable outcomes, year after year. That track record is what I'm now building on as a founder.

Thinkerwave AITech · current work
Research arm · 2026
Sovereign AI research on self-evolving agent systems whose identity and evaluation criteria mutate generationally. Patent pending at the Indian Patent Office.
Commercial · AI prospecting
AI-powered B2B prospecting — reads buying signals across the web and matches them to a seller's entire catalog, then drafts outreach. One signal, the whole product line.
Commercial · in build
An influencer-intelligence platform — pricing, fit, and audience intelligence for the creator economy. AI applied to the messy problem of matching the right creator to the right brand.
Former · 25+ years
Ex-CTO at blackNgreen (290M+ users, $20M+ ARR, 5→160+ customers) and Nexiva (AI voice agents). Led MagicCall — 14M+ downloads. Three Indian patents.
Areas of expertise
Latest writing
Tokenmaxxing isn't just a metrics fad. AI agents burn tokens because they were trained on GitHub's verbose code — and run without a harness. From a CTO running production AI in front of 290M+ users, here's what's actually going on, and what to build instead of writing longer rule files.
AI agents are not a faster chatbot. They are autonomous systems that can hold a goal across hundreds of steps, recover from their own mistakes, and act in the world. The implications for business are bigger than most leaders realise — and the failure modes are different than the ones they're preparing for.
What I've learned from putting AI voice agents on real customer calls across India, the Middle East, and Latin America. Latency budgets, language switching, and why a single hallucination is a customer-impact event, not a chat-window inconvenience.
I'm always open to conversations about Voice AI, agent architectures, and enterprise AI deployment. Reach out on LinkedIn or via email.