A closer look at how I approach ambiguity, systems design, prioritization, rollout, and measurable outcomes, across enterprise SaaS platforms, clinical AI, enterprise infrastructure, consumer hardware, and 0-to-1 product strategy.
Unified a $7.8M ARR business onto one platform - vendor evaluation, 10+ integrations, telemetry, and governance.
Led a team of 4 to build a RASA-powered AI decision-support product, secured $10K in funding, and analyzed 250+ surgeries to boost OR efficiency.
Led a 5-engineer team on a QUIC-based IoT security protocol, and partnered across 8 engineers to resolve 100+ WebEx vulnerabilities.
Ran 150+ customer interviews plus competitive benchmarking to define 5 AR/Computer Vision features shaping a long-range roadmap.
Analyzed 50+ PMs and 15 competitors to define the top 10 launch features and a three-tiered, willingness-to-pay pricing model.
Not every project needs a full case study to show product thinking. Two additional builds worth a quick look.
Built a virtual voting machine in 10 weeks using Agile methodologies, running story-writing workshops with 2 potential customers to define 26 user stories, 3 user roles, and 6 themes, then owned the backlog, release plan, and weekly Scrum ceremonies end-to-end with 3 developers.
Partnered with the Technical University of Denmark to evaluate a wide-loop circular economy strategy for recycling dryer filters used in refrigerators, and ran competitor analysis on natural refrigerants (trans-critical CO2) across the North American Industrial Refrigeration Market to define market entry strategies.
Problem, why it mattered, constraints, my role, decision process, execution, outcomes, what I learned. No fluff, no hidden confidential detail, just the reasoning.
