Alireza Belal
I turn real-world problems into useful digital products.
Bridging product thinking, data, and hands-on technical execution to turn complex problems into useful products.
Product × Technology
Evidence-led product decisions.
A few recorded signals — with scope attached.
Pilot, operational, field-test, and research evidence are intentionally not presented as interchangeable.
unique registered users in a later Sepas internal dashboard
confirmed paying customer reached during WiseTrack's early commercialization
real ambulances in a controlled EMS field test — not production
completed AcuLearn conversational assessment flows
How product decisions played out in real roles.
B2B analytics, enterprise product delivery, and product launch/GTM — each with the constraint and evidence boundary left visible.
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
I still build close enough to the system to understand the trade-offs.
Selected project work shows conversational AI, production automation, and high-volume data workflows without repositioning the portfolio as a generic software-engineering site.
All selected work & archive ↗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
The product–technical boundary is the job.
My strongest evidence sits in detailed product specification, product analytics, competitor/domain research, cross-functional delivery, and enough technical depth to reduce translation loss.
Discovery & Product Strategy
Problem framing · competitor research · MVP scope · roadmap · prioritization
Detailed Product Specification
User flows · PRDs · acceptance criteria · edge cases · event semantics
Product Analytics & Data
Funnels · cohorts · attribution · event taxonomy · data products · interpretation
B2B / Platform Product
SDK/API workflows · integrations · enablement · pilot validation · commercialization
Product & Go-to-Market
Positioning · pricing · launch readiness · acquisition quality · monetization
Technical & Enterprise Delivery
APIs · databases · AI/data context · UAT · technical acceptance · operations
Need the full evidence trail?
Experience, selected case studies, project archive, education, publications, and a printable resume are all separated so you can go as deep as you need.