Nexiva
CTO · Oct 2025 – present
Enterprise SaaS platform for AI voice agents — inbound service, outbound sales, collections. Live across India, MENA, and LATAM. Launched at MWC Barcelona 2025.
Outcome-Driven CTO · Enterprise SaaS · AI Voice 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 CTO at Nexiva — an enterprise SaaS platform for autonomous AI voice agents that I led from concept through global launch in under 12 months — and CTO at blackNgreen, where over 13 years I've grown the company from 5 enterprise customers to 160+, scaled annual revenue past $20M ARR, and led three generational platform shifts — from a single-product VAS company to a multi-product enterprise SaaS company serving global enterprises across telecom, BFSI, and other industries. MagicCall alone reached 14M+ downloads on Google Play.
On the side, I run ThinkerWave, an independent AI research project on self-evolving agent systems with a patent application filed in April 2026.
The work that earns trust isn't the technology by itself — it's consistent delivery against measurable outcomes, year after year. Customers grown, products shipped, organisations built, businesses scaled. That's what 25+ years of operating at this layer have taught me.
Current work
CTO · Oct 2025 – present
Enterprise SaaS platform for AI voice agents — inbound service, outbound sales, collections. Live across India, MENA, and LATAM. Launched at MWC Barcelona 2025.
CTO · 2013 – present
Enterprise SaaS company. Flagship OXM platform serves 160+ enterprise customers and 290M+ end-users across Asia, MENA, Africa, and South America.
Voice product · 2017
Real-time voice changer for phone calls. 14 million+ downloads on Google Play. Shipped under my CTO leadership at blackNgreen.
Research project · 2026
Independent AI research on self-evolving agents whose identity and evaluation criteria mutate generationally. Patent pending.
Areas of expertise
Latest writing
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.
Pure-AI customer service is a sales pitch. Pure-human customer service is increasingly unviable at scale. The interesting question is what the right blend looks like — and which decisions about that blend are made by the architecture vs. left for runtime.
I'm always open to conversations about Voice AI, agent architectures, and enterprise AI deployment. Reach out on LinkedIn or via email.