6+ years delivering high-scale ML/AI products that simplify complex workflows and drive intelligent decision-making across enterprise ecosystems.
6+ years of shipping high-stakes products that drive measurable business value.
Real products, real scale, real engineering depth.
Deep technical fluency meets strategic product instincts.
Model serving, experimentation design, SLA management, and ML pipeline ownership — not just the roadmap, the system.
Shipped production GenAI agents. Deep experience with LLM evaluation frameworks, prompt pipelines, and no-code AI tooling.
SQL, Python, A/B testing, Tableau, QlikView. I define the metrics before we build, not after.
I connect daily shipping decisions to multi-year platform bets. I don't optimize features — I optimize for leverage.
Engineers trust me because I understand their systems. Executives trust me because I translate complexity into decisions.
API integration, enterprise reliability design, and agile execution. I think in systems, not just features.
A few things I believe deeply after years of shipping AI products.
Every piece of complexity you ship is a permanent tax on every user. I hold the line on simplicity — especially in AI, where systems can spiral fast.
I define quality metrics and experimentation frameworks before writing a line of product spec. Data is only useful if you designed to collect it intentionally.
The greatest AI achievement isn't the technology — it's when users never feel it. That's the bar I hold my products to: powerful, invisible, inevitable.
I've killed projects I loved because the data said no. Knowing when not to ship is the most underrated PM skill, especially when hype can override judgment.
I’m always looking to connect with teams solving complex problems. Drop your details here and let’s start a conversation.
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