Start with six case studies showing product discovery, detailed specification, delivery, analytics, go-to-market, and technical decision-making. The broader archive stays accessible without competing with the Product story.
Professional experience and hands-on products are presented with explicit ownership, maturity, constraints, and evidence boundaries.
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
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
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
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
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
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
An automated market-data and analytics pipeline for Iranian equities, combining daily market snapshots, validated 1–10 year historical analysis, risk metrics, provider fallbacks, and automated dashboard delivery.
Fourteen additional projects across AI, data, automation, software, and research. They demonstrate range and hands-on execution without redefining the profile as Developer-first. Filters apply only to this archive.
Phone-based Python batch messaging workflow that personalized SMS campaigns and sent them through an Android device/SIM gateway with pacing, retries, and structured execution logs.
~5,000 personalized campaign contacts
Telegram reservation and operations product used by a travel agency for passenger registration, tour selection, admin-controlled capacity approval, offline payment verification, and targeted updates.
~10 months real use · ~3 tours/week
Personal Python data product that combines Iranian market sources, price/fundamental inputs, a custom relative-performance formula, and Excel screening reports.
Practical screening workflow · 5 users
Personal Python monitor that checked one filtered Divar property URL every five minutes and sent desktop notifications with direct links when new listings appeared.
Two-person automated trading system that collected Binance/CoinEx market data, detected cross-exchange and triangular opportunities, validated price/volume constraints, and executed order sequences.
Real-time TensorFlow/OpenCV system designed, built, integrated, and deployed at Zanjan Municipality to support mask-compliance reporting with authorized internal identity/health context and human review.
~10 cameras · 89% test vs ~78% observed operational accuracy
Three-person Persian NLP research prototype coupling a Persian GPT-2 generator with a multi-task evaluator for poetic validity, structure, and target-poet style alignment.
Persian/English semantic medicine retrieval prototype combining Iranian FDA data with WHO ATC classifications, fuzzy matching, bilingual embeddings, and cross-lingual vector alignment.
65,469 enriched medicine records
Explainable Persian grammar-correction tool for He-Kasra errors using normalization, POS/lexical signals, embeddings, and rule voting/veto.
Transformer/BERT-based academic prototype that returns separate seven-level sentiment labels for eight aspects of Persian movie reviews.
Scrapy-based Persian text-mining pipeline that collected structured comments and metadata from selected Ganjoor poetry pages for exploratory NLP analysis.
Sharif University M.Sc. research combining deep feature extraction and similarity descriptors with CatBoost/gradient-boosting regression for drug–target binding-affinity prediction.
~10% average improvement reported in thesis
Individual Flutter/Django academic prototype for connecting drivers and passengers on planned intercity trips with shared travel cost.
Four-person hackathon concept for coordinating property-visit availability directly around a classifieds listing journey.