I turn ambiguous problems into shippable, measurable products.
I work from discovery and product specification through engineering delivery, analytics, launch, and early commercialization — using software and data depth to make feasibility and trade-offs explicit.

Product decisions in real roles — not a list of responsibilities.
B2B analytics, enterprise product delivery, and product launch/GTM, with ownership, constraints, decisions, and evidence boundaries kept explicit.
WiseTrack — B2B Mobile Measurement & Analytics
Product-management case study spanning an early-stage MMP from startup formation through detailed attribution/analytics specification, pilot-led validation, ecosystem integrations, and initial commercial adoption.
~10 pilot/onboarding apps · 1st paying client confirmed · 1.2s → 0.25s recorded API example
Houbad — Smart Ambulance MVP & Technical Acceptance
Enterprise product and technical-delivery case study covering a smart-ambulance MVP plus evidence-based acceptance of confidential vendor-delivered systems.
2 real ambulances in controlled EMS field test · 4 confidential systems under technical acceptance
Sepas — From Prolonged Pre-launch to Public Release
Product and go-to-market case study for moving a technically developed relationship-wellness product into public launch, behavioral analytics, monetization, and early market validation.
1,450 unique registered · 25,800 assessment responses · 58 unique paying users
Iran Stock Analysis Pipeline
An automated market-data and analytics pipeline for Iranian equities, combining daily market snapshots, validated historical analysis, provider fallbacks, and a hosted interactive dashboard.
I build close enough to the system to make better product trade-offs.
Hands-on work in conversational AI, production automation, and high-volume data pipelines supports feasibility judgment and engineering collaboration. It is evidence of technical depth, not a second positioning as a generic developer.
Explore all work ↗AcuLearn — AI-Powered Course Advisor
AI-powered Telegram course advisor that interviews learners, assesses knowledge and goals, recommends a personalized module sequence, preserves context, and escalates unresolved cases to human support.
~500 starts · ~300 complete interviews · 3rd place
IranArze — Automated Job Deadline Notification
End-to-end Telegram automation that extracts active opportunities, calculates Jalali deadlines, publishes a consolidated daily digest, and sends urgent reminders without routine manual content operations.
~500 members · ~2 months automated operation
Iranian Contact Data Normalization Pipeline
High-volume Python ETL workflow that turns raw Iranian phone exports into standardized, validated, deduplicated, operator-aware, messaging-ready lists.
~1,000,000 records tested
Four capabilities that connect Product to execution.
The strongest recurring evidence across my work is discovery, specification, analytics, cross-functional delivery, and technical product judgment.
Discovery & Prioritization
Problem framing · competitor/domain research · MVP scope · roadmap · prioritization
Specification & Delivery
User flows · PRDs · acceptance criteria · edge cases · engineering coordination
Analytics & Go-to-Market
Funnels · cohorts · event semantics · positioning · pricing · launch · monetization
Technical Product Judgment
APIs · data and AI context · feasibility · integration constraints · UAT · technical acceptance
Case studies first. Resume when you need the full timeline.
The portfolio separates selected product evidence from the broader technical archive so the primary story stays Product-first.