Current role spanning enterprise product research, project/opportunity analysis, a smart-ambulance MVP, and evidence-based technical acceptance of confidential vendor-delivered systems.
- Translated an incomplete smart-ambulance concept into user flows, MVP priorities, requirements, and executable tasks while coordinating a small frontend/backend delivery group without a dedicated designer.
- Coordinated software, IoT, medical-device, and server/infrastructure dependencies and reached an initial MVP in approximately seven months.
2 ambulances in controlled EMS field test4 confidential systems under technical acceptanceInitial smart-ambulance MVP reached in ~7 months
Helped move a technically developed but unreleased Persian relationship-wellness product into public release, behavioral measurement, monetization, and early market validation.
- Defined launch readiness, MVP scope, roadmap, PRDs, user stories, acceptance criteria, product testing, and a two-week delivery cadence across technical and non-technical teams.
- Defined persona, target market, positioning, freemium/subscription model, pricing, event taxonomy, funnel measurement, and acquisition experiments.
1,450 unique registered users in later internal dashboard25,800 assessment responses758 couple contests · 344 completed (45.4%)58 unique paying users
Contributed from early startup formation through detailed product specification, pilot-led validation, ecosystem integrations, early fraud controls, and initial commercial adoption.
- Personally led product discovery and competitive research across Adjust, AppsFlyer, Adtrace, Metrix, AppMetrica, Amplitude, and related MMP/analytics patterns.
- Personally authored and drove detailed specifications for Attribution, Event Analytics, Callback, four Cohort models, and KPI/reporting design across acquisition, retention, and revenue.
~10 apps in pilot/onboarding — not 10 paying customersAlibaba confirmed as first paying clientRecorded session-overview API: ~1.2s MySQL → ~0.25s ClickHouse
