CertificationsEight credentials.
Eight credentials.
Three domains.
AI/ML, product management, and data engineering — each verified, each applied in production.
Nadeem Bagban
·AvailableI build AI platforms, lead enterprise delivery programs, and help organisations close the gap between what AI promises and what it actually ships — safely, on time, within cost.
Ten years across publishing intelligence, EdTech platforms, and AI-native SaaS. It started at Packt — evaluating 150+ technical book proposals, making early calls on LLVM, cloud-native, and ML tooling that held up commercially for years.
From there: leading digital transformation for 800+ learners at GS Mentors, cutting operational overhead by 40% through automation. Then building an adaptive learning engine from 0→1 at Prepdiary — growing adoption from 30% to 65% through ML personalisation and A/B testing.
Most recently at SkillUp Exchange — owning AuthPlat end-to-end. Not as a PM handing off to engineers, but as the person who conceived it, drove 74 production deployments, designed the AI governance stack, and kept AI spend under 20% of revenue.
"The roles that interest me sit at the intersection of AI delivery, enterprise governance, and regulated operations."
AI/ML, product management, and data engineering — each verified, each applied in production.
The most useful product people aren't specialists. They're generalists with depth — able to move between domains without losing rigour.
Not as a buzzword — as a delivery problem. I've built AI governance stacks, designed LLM-based workflows, and kept AI spend accountable to revenue. I know what it costs when AI is ungoverned, and how to build the guardrails without slowing the product down.
Ten years of making calls on what to build, what to kill, and what the market will reward in 18 months. From commissioning books on LLVM before it was mainstream, to building 0→1 SaaS products — I've learned that strategy is pattern recognition with stakes.
I spent years reading technology signals before they became headlines — evaluating 150+ book proposals across AI/ML, cloud, and data, making early calls on LLVM, Kubernetes, and ML tooling that held up commercially for years. I read markets the way engineers read logs.
I've shipped production platforms — not as a bystander, but as the person writing specs, unblocking engineers, and owning the deployment. I know what happens when the build breaks at 11pm.
The part most PMs skip. I've designed input/output controls for AI systems, built cost governance into product architecture, and ensured audit trails exist before regulators ask for them. In AI, governance isn't a constraint — it's the competitive advantage.
I've worked with authors, engineers, and stakeholders across the US, UK, Germany, Italy, Argentina, and Australia. Different timezones, different working styles, different expectations of what "done" means. I've learned to keep delivery coherent across all of it.
Chronological order. Company names available on request.
Evaluated and commissioned 150+ technical titles across AI/ML, Web, Cloud, and Data engineering. Built evaluation frameworks that mapped technology signals to commercial demand. Early calls on ML, LLVM, Kubernetes tooling that held up for years.
Led end-to-end migration of 800+ learners from offline to cloud LMS. Designed workflow automation that cut operational overhead by 40%. Rebuilt onboarding flows using user research, reducing drop-off by 15%.
Built an ML-based adaptive learning engine from 0→1. Grew platform adoption from 30% to 65% through personalisation, A/B testing, and analytics built from scratch. Designed the full AARRR instrumentation.
Owned AuthPlat end-to-end — an AI-assisted authoring platform for authors and publishers. Designed the AI governance stack. Led cross-functional teams across 74 production deployments. AI spend held under 20% of revenue. 90% on-time delivery.
Advising on AI/ML product roadmaps, commissioning strategy, and go-to-market execution for a technical publisher. Independently building Preplytica — an AI-powered UPSC preparation platform covering all three exam stages.
Five products across publishing, EdTech, and AI-native SaaS. Each one shipped.
Not hot takes. Things I've been thinking about long enough to write down.
Open to Program Manager, Technical PM, and AI Product Lead roles across India, UAE, KSA, and remote. If you're building something ambitious at the intersection of AI delivery and enterprise governance — let's talk.
