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mohammad-azimi/README.md

Hi, I'm Mohammad Azimi 👋

Computer Engineering Graduate · Enrolled in the Master's Program in Intelligent Systems

Reinforcement Learning · Artificial Intelligence · Software Development

Building practical digital products and developing my academic path in Intelligent Systems, with a primary focus on Reinforcement Learning and an additional interest in Computer Vision.


Portfolio Website LinkedIn Email

Profile Views

About Me

  • 🎓 Computer Engineering graduate in Computer Software Engineering from Zand-E-Shiraz Institute
  • 🎓 Enrolled in the Master's program in Intelligent Systems at Peter the Great St. Petersburg Polytechnic University
  • 🧠 Primarily focused on Reinforcement Learning, with interests in Artificial Intelligence and Computer Vision
  • 🔬 Published research related to Artificial Intelligence, Computer Vision and early forest-fire detection using UAVs
  • 🌍 Languages: Persian, English and Russian
  • 💻 Building practical applications while developing research-oriented AI skills

Current Focus

Exploring Reinforcement Learning and intelligent agent decision-making
Preparing for Master's studies in Intelligent Systems
Building practical software products and AI-oriented projects
Developing a stronger research foundation in Artificial Intelligence

Featured Projects

Project Description Tech Stack Links
Habit Tracker A full-stack habit tracking application with daily check-ins, progress analytics, cloud-backed data, PWA support and push reminder functionality. React, Vite, Tailwind CSS, Node.js, Express, PostgreSQL, Prisma, PWA Repository · Live Demo
Portfolio Website A cinematic AI-focused portfolio presenting my journey in Intelligent Systems, Reinforcement Learning, education, research, experience and product development. React, Vite, Tailwind CSS, GSAP, Formspree, GitHub Actions Repository · Website

Research & Publication

Early Detection of Forest Fires Using Unmanned Aerial Vehicles and Artificial Intelligence

Published conference paper exploring the use of unmanned aerial vehicles, artificial intelligence and computer vision for early smoke and forest-fire detection.

Topics: Artificial Intelligence · Computer Vision · UAV · Forest Fire Detection · Crisis Management Publication Language: Persian

View Publication


Technologies & Tools

Programming Languages

Python C++ C Sharp JavaScript SQL

Frontend & Product Development

React Vite Tailwind CSS HTML5 CSS3 GSAP

Backend, Database & Deployment

Node.js Express PostgreSQL Prisma Git GitHub GitHub Actions

AI & Data Direction

Reinforcement Learning Artificial Intelligence Computer Vision NumPy Pandas


Education

  • Master's Program in Intelligent Systems — Enrolled Peter the Great St. Petersburg Polytechnic University 09.04.01_17 Intelligent Systems (International Educational Program) Full-time · English-taught · Program begins after Summer 2026

  • Preparatory Course — Russian Language and Pre-University Program Peter the Great St. Petersburg Polytechnic University Nov 2025 — Present Coursework studied in Russian: Mathematics, Physics, Statistics & Probability, Informatics and Chemistry

  • Bachelor of Computer Engineering — Computer Software Engineering Zand-E-Shiraz Institute Sep 2020 — Aug 2024 · Grade: 18.35 / 20


Connect With Me

Portfolio LinkedIn Email


⭐ Explore my repositories and visit my portfolio to learn more about my work and academic journey.

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  1. RepoBoost RepoBoost Public

    A CLI tool that audits GitHub repositories and suggests practical improvements for better open-source presentation.

    Python

  2. Habit-Tracker Habit-Tracker Public

    A full-stack habit tracking app with authentication, cloud sync, analytics, PWA support, and push notifications

    JavaScript

  3. GlucoPilot-RL GlucoPilot-RL Public

    Safety-shielded reinforcement learning for simulated blood glucose control with virtual Type 1 Diabetes patients.

    Python

  4. VisionForge-AI VisionForge-AI Public

    Self-refining diffusion image generation studio with prompt mutation, reference matching, portrait evaluation, benchmarking, and experiment reports.

    Python

  5. CNN-FashionMNIST CNN-FashionMNIST Public

    PyTorch CNN for Fashion-MNIST classification and weak localization using CAM and Grad-CAM.

    Jupyter Notebook

  6. MarketBoard MarketBoard Public

    A Django-based classified ads marketplace with user authentication, item listings, search, filtering, and dashboard management.

    HTML