AI Product Manager
Former Data Engineer at Accenture and Product Manager at Optum — now focused on building AI-powered products. I bring engineering rigor to product decisions: grounding roadmaps in data, shipping with clear success criteria, and deeply understanding the users I build for.
Five projects covering the full PM toolkit — from zero-to-one product strategy to user research, open source sprints, and AI quality metrics.
A full PRD for a zero-to-one AI SaaS that transforms meeting recordings into structured action items. Covers user personas, RICE prioritization, go-to-market strategy, pricing, and risk analysis.
A PM-led competitive teardown of Notion AI — analyzing its business model, identifying 3 structural UX gaps through user research, and proposing a prioritized roadmap with concrete success metrics.
A simulation of operating as PM on LocalAI, a 22K-star open source project. Includes user segmentation, north star metric, RICE-prioritized roadmap, 3 full feature specs, and GitHub issues written as PM.
End-to-end qualitative research study: 10 interviews across 4 industries exploring when and why professionals trust or reject AI suggestions. Includes 5 findings, affinity map, and 3 HMW opportunities.
A framework for measuring AI product success — covering the three layers of AI metrics, leading vs. lagging indicators, guardrail metrics with alert thresholds, model drift detection, and a full dashboard spec.