Nexiva
CTO · Oct 2025 – present
AI voice agents handling inbound service, outbound sales, and collections — live across India, MENA, and LATAM. Launched at MWC Barcelona 2025.
CTO · AI Technologist · Researcher
I'm the CTO at Nexiva — autonomous AI voice agents now live across India, the Middle East, and Latin America — and CTO at blackNgreen, where my team and I have built MagicCall (14 million+ downloads on Play Store) and the OXM platform that powers 160+ telecom operators. On the side, I run ThinkerWave, an independent AI research project on self-evolving agent systems. After 25+ years in telecom and software architecture, I'm focused on what comes after the chatbot: AI systems that evolve their own understanding of what good looks like.
Current work
CTO · Oct 2025 – present
AI voice agents handling inbound service, outbound sales, and collections — live across India, MENA, and LATAM. Launched at MWC Barcelona 2025.
CTO · 2013 – present
The OXM platform powering 160+ telecom operators and 290M+ subscribers across Southeast Asia, the Middle East, 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.