Senior Product Manager · AI/ML Products · Growth & Analytics · Consumer Apps · Enterprise SaaS

I sit at the intersection of data, user behavior, and emerging tech — turning ambiguous problems into shipped products people actually use. Currently obsessing over how AI is reshaping product intuition, growth loops, and the future of enterprise software.

• AI-native product design — moving beyond bolt-on AI features toward products where intelligence is the core experience
• Growth at the edges — where traditional funnel thinking breaks down and what replaces it
• LLM evals as a PM skill — why PMs who understand model behavior will outcompete those who don't
• Enterprise AI adoption curves — the gap between pilot enthusiasm and production deployment

In AI/ML Products

• Agentic product patterns (multi-step, tool-using AI in consumer apps)
• The rise of "AI PM" as a distinct discipline
• Evaluation frameworks for AI features — beyond accuracy metrics

In Growth & Analytics

• Retention inflection points in AI-first products
• PLG motion in enterprise: where it stalls and why
• Behavioral cohort analysis over vanity activation metrics

In Enterprise SaaS

• The shift from features → workflows → outcomes in enterprise positioning
• AI-driven churn prediction and expansion signals
• Buy vs. build calculus as AI tooling matures

Good product work is 20% insight, 80% alignment. The insight is the easy part.

I believe PMs are translators — between users and engineers, between today's problems and tomorrow's opportunities. I keep notes, write teardowns, and document frameworks publicly because thinking in the open makes the thinking sharper.

Open to conversations about AI product strategy, growth mechanics, or PM craft. Find me here on GitHub or reach out directly.

_{Last updated: May 2026}