Мухаммад Азимов

Computer Engineer
Мухаммад Азимов
Computer Engineer
Самарканд
https://github.com/muhammedazimov
muxammad46066@gmail.com
+998 93 680 38 28
+90 532 606 14 12
Специализации

Разработка сайтов
Разработка приложений
Тестирование
Мобильные приложения

Навыки

Python
Node.js
Spring Boot
Django
ASP.NET
.Net Core
Redis
Java

Обо мне

I am a backend-focused software engineer with strong experience in building scalable, high-performance systems and data-driven applications.

I have hands-on experience designing and developing distributed systems using Java, Spring Boot, PostgreSQL, Redis, and Kafka, including real-time data processing pipelines and modular service architectures. I focus on writing clean, maintainable code and building systems that are reliable under load.

On the frontend side, I work with React to deliver efficient and responsive user interfaces, but my main strength lies in backend architecture, API design, and system performance optimization.

I am highly comfortable working with complex problem domains, debugging production-level issues, and taking ownership of end-to-end system design. I continuously improve my skills in modern technologies and aim to build systems that are not only functional, but also scalable and production-ready.

Portfolio

  • Eye Disease Prediction System (OCT Analysis) - Graduation Project

    6 января 2026 г.

    This project is a comprehensive Graduation Project designed to detect eye diseases from Optical Coherence Tomography (OCT) scans using Artificial Intelligence. It features a modern microservices-inspired architecture combining a Python-based Deep Learning backend with a robust .NET Core Fullstack web interface.
  • Financial Market Data Aggregation & Calculation System

    32bit Computer / 8 июня 2025 г.

    This project is a comprehensive internship project designed to simulate a real-time financial exchange system. It demonstrates a scalable, modular, and containerized architecture that collects financial data (rates) from various simulators, streams them through Kafka, and persists them into a database. The system is engineered to handle dynamic loading of data collectors, ensuring that new data sources can be added without modifying the core application code.
  • Beyaz Kale: Bilingual Social Network Analysis of Literary Characters

    8 июня 2024 г.

    This project is an advanced Natural Language Processing (NLP) and Social Network Analysis (SNA) application developed as part of a Computer Engineering Internship. Using Orhan Pamuk's novel "The White Castle" as a primary case study, the system detects characters within literary texts, uncovers hidden relationships between them, and calculates the mathematical importance of each character using social network theory metrics. The architecture is fully bilingual, capable of processing both Turkish and English corpora in parallel.

Education

  • Dokuz Eylul University

    Бакалавриат / Computer Engineering

    1 сентября 2021 г. - Present

Work Experience

  • Computer engineer

    Dokuz Eylul University

    1 июля 2024 г. - 1 августа 2024 г.
  • Middle Java Developer

    32bit Computer

    1 июля 2025 г. - 1 августа 2025 г.