As systems with incentives, failures, and unexpected consequences. I build platforms, evaluate AI capabilities, and help organisations navigate the gap between what technology promises and what it delivers.
Most people look at a new technology and ask "what can this do?" I've learned to ask different questions: What does this change about who has power, who bears risk, and where value accumulates? What are the second-order effects no one's pricing in?
This instinct comes from a decade of watching what actually works when technology meets organizations. At Packt, I evaluated 150+ book proposals and saw which emerging technology bets paid off (LLVM became a category leader) and which ones aged badly within 18 months. At SkillUp, I shipped 74 production PRs on an AI-assisted SaaS platform and learned the gap between what AI promises and what it delivers in practice.
I passed Stanford's Machine Learning course and can walk you through gradient descent. I hold Duke's AI Product Management certification and 3 Snowflake data platform credentials. But what matters more is the pattern: I've seen the same organizational failure modes repeat across publishing, EdTech, and platform delivery — and I'm learning to predict them.
Currently seeking senior Product Manager, Technical Program Manager, and Platform Lead roles across India, UAE, and KSA — environments where this kind of pattern recognition is the requirement, not the bonus.
The domains I think across — and the questions I bring to each.
Where is AI actually creating value vs. where is it creating the appearance of value? What does genuine AI-readiness look like for a product team?
How do you build for a market that doesn't yet know what it wants? What separates platforms that compound from products that plateau?
Who captures value in a technology shift — and who gets displaced? How do switching costs, network effects, and data moats play out in practice?
When does a product earn the right to become a platform? What architectural decisions made early determine whether ecosystems emerge or collapse?
How do regulatory environments shape technology adoption curves? What happens when AI capabilities outrun the institutional frameworks designed to govern them?
How do organisations actually change — or resist change — when new tools arrive? Why do rational people make systematically irrational technology decisions?
Across publishing intelligence, platform operations, and AI delivery — the same instinct applied at different scales.
Built AuthPlat from zero to beta — a multi-tenant AI-assisted SaaS platform. Shipped 74 closed pull requests on a private GitHub repo across AI review engines, version control, document import, billing systems, and trial workflows.
Designed taxonomy and metadata architecture feeding an AI-assisted adaptive learning engine. Translated system requirements into structured inputs for personalization and quiz-gating workflows.
Managed migration of academic operations to cloud-based LMS infrastructure for 1,000+ learners. Owned platform coordination, delivery systems, and operational scaling across 4 years.
Evaluated and acquired 150+ technical books across AI, ML, cloud, and data domains. Mapped emerging technology signals to market demand — including LLVM Essentials, which became a category leader and remained in print for years.
Four essays on AI, product strategy, governance, and building software. Publishing soon — subscribe below to read when they drop.
AI doesn't equalise — it amplifies. The same organisational incentives that produced mediocre outcomes before will produce them faster and at greater scale.
Surveys tell you what people say they want. Commissioning decisions force you to bet real money on what they'll actually pay for. The difference is everything.
Regulatory frameworks for AI are being written right now. Most product teams aren't in the room — and will be surprised by what emerges.
I shipped 74 pull requests on a production platform without a computer science degree. Here's what that experience actually taught me about AI-assisted development.
Essays unlock with your email. No payment, no spam — just thinking worth reading.
Open to senior Product Manager and Platform Lead roles across India, UAE, and KSA. Also available for advisory engagements and fractional PM work.
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