Akhtar Kamal
AI and product leader in Dublin, Ireland, with 14+ years across GenAI, platform engineering, fraud detection and enterprise fintech. ProductPulseAI is where I put the learning, the shortlists and the mentoring in one place.
I have spent 14+ years shipping product in places where the stakes are concrete — payments, insurance, fraud, and the platforms other engineers build on. Most recently that has meant taking generative AI from promising demo to something a regulated enterprise can actually run.
What I am good at: turning a fuzzy AI idea into a scoped product bet, building the evaluation and guardrail work that keeps it honest, and finding metrics that survive contact with a launch.
- AIG
GenAI Product Owner
Owning generative AI products end to end — discovery, evals, guardrails and the path from demo to production in a regulated enterprise.
- Microsoft
Product Manager, Windows Platform
Product management for the Windows platform — telemetry, diagnostics and observability services relied on across engineering organisations.
- Mastercard
Product Manager, Decision Management Platforms
Product management for decision management platforms — fraud and risk decisioning at enterprise scale, where a bad model call costs real money.
- Infosys
Technology Analyst
Fintech delivery for UK, US and Irish banks across payments, risk and core banking — the foundations everything since has been built on.
I enjoy this part the most.
I mentor through the Global Mentorship Initiative, STEM Education and as a guest mentor at UCD Michael Smurfit Graduate Business School — career check-ins, CV and portfolio reviews, mock PM interviews, and a structured track for breaking into product.
I also speak at colleges, seminars, meetups and company workshops on AI × product management: how AI features actually get discovered, evaluated and shipped, and the career paths opening up around them.
A lot of AI and product learning lists are shaped by affiliate links, which can make them hard to trust. Nothing here is affiliate-linked — I share what I have actually found useful, and if something stops being good it comes off the list.
The verdicts are honest on purpose. A clear "this is best if you build or closely own ML systems" tends to be more useful than a five-star rating, and I try to keep it that way.
Work with me
Mentoring, CV and portfolio reviews, mock interviews, or a talk for your college, meetup or team.