Fractional AI CTO · Voice AI · Autonomous 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, I spent 30 years in production engineering. As CTO of blackNgreen (2013–2026) I owned far more than the tech: the product, the go-to-market, and the P&L. That's the founder's lens I build with now. AI is only worth building if it moves the business.
Current work
Product · autonomous agents
An autonomous AI agent for hard, high-stakes decisions. It tests several approaches, has them reviewed independently, and labels every claim as verified, assumption or guess. Runs in the browser and as a desktop app.
Product · voice AI
Voice AI assistants that follow your SOP across CRM, calendar and helpdesk: qualifying leads, booking meetings, chasing documents and resolving requests. Cloud or on-premises.
Product · AI prospecting
AI-powered B2B prospecting. It reads buying signals across the web, matches them against a seller's full catalog, and drafts the outreach.
Product · in build
Influencer intelligence for the creator economy: pricing, fit and audience signals that match the right creator to the right brand.
Fractional AI CTO
Senior AI leadership for US companies and Indian founders: voice AI, autonomous agents, evaluation and production readiness, on a focused project basis.
Former · 30 years
Former CTO at blackNgreen (290M+ end-users, $20M+ ARR, 5 to 160+ enterprise customers) and Nexiva (AI voice agents). Led MagicCall to 14M+ downloads. Three Indian patents.
Areas of expertise
Latest writing
Indian enterprises report strong AI adoption, but the same research points to weaker governance and capability. Here is what the published numbers do and don't say, and a five-question test for whether your first agent is ready for production.
An agent can give the right final answer and still be unsafe, slow or ruinously expensive. Here is a seven-metric scorecard for AI agent evaluation, how to build a test set from real work, and how to set release gates before you ship.
You can't reliably prompt your way out of prompt injection. Treat the model as untrusted, and secure what it is allowed to do. Here is a blast-radius review with eight checks for any AI agent that can take real actions.
Planning a voice AI or agent project, or taking one to production? I'm happy to talk it through. Reach out by email or on LinkedIn.