Alireza Belal
I turn real-world problems into useful digital products.
Bridging product thinking, data, and hands-on technical execution to deliver impact.
Product × Technology
Engineering depth as a product advantage.
Verified signals from real work.
Numbers are presented with their actual scope, not inflated into production claims.
registered users in a later Sepas dashboard
ambulances in a controlled EMS field test
contact records tested in an operational data workflow
completed AcuLearn AI assessment flows
Product decisions, technical execution, evidence.
Three case studies that best show how I frame problems, make product choices, work through technical constraints, and measure what actually happened.
AcuLearn — AI-Powered Course Advisor
Conversational AI course guidance that interviews learners about knowledge and goals, recommends modules, preserves context, and falls back to a human when needed.
~500 started · ~300 completed · 3rd place
IranArze — Automated Job Deadline Notification
End-to-end Telegram system for discovering opportunities, calculating deadlines, publishing daily reports, and escalating urgent deadlines without manual content operations.
~500 members · ~2 months production
Iranian Contact Data Normalization Pipeline
High-volume ETL workflow that turns raw Iranian contact exports into standardized, validated, deduplicated, messaging-ready datasets.
~1,000,000 records tested
I work across the product–technical boundary.
The through-line is connecting business problems, analytics, and product decisions to realistic technical delivery.
See the full career path →Houbad
Researcher — Product & Technical Projects
Working across enterprise product research, a smart-ambulance MVP, technical acceptance, and confidential project evaluation.
B2B analytics & platform product
Pilot-led validation through first confirmed paying customer, with attribution, analytics, SDK, data and early fraud-product work.
Launch, analytics & GTM
Moved a long-developed product into public release with scope, product operations, analytics, pricing, and acquisition experiments.
How I contribute.
Product judgment comes first; technical depth helps me ask better questions, de-risk delivery, and collaborate closely with engineering and data teams.
Product Discovery
Problem framing · user needs · competitive research · product flows
Product Strategy
MVP scope · prioritization · roadmaps · positioning · monetization
Data & Analytics
Event taxonomy · funnels · attribution · data products · interpretation
AI Products
Conversational flows · recommendation logic · NLP/CV · human-in-the-loop
Automation
Operational workflows · notifications · integrations · observability
Technical Delivery
APIs · SDKs · databases · acceptance criteria · cross-functional delivery