Open to opportunities

Shaxzod Mirmuminov

@shaxzodmirmuminov

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Entry-level software engineer focused on AI, backend systems, and data-driven products.

Uzbekistan

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What I'm looking for

I’m looking for an entry-level role where I can build reliable backend systems and ship AI/ML features. I want hands-on work with REST APIs, databases, deployment, and end-to-end model pipelines that improve real products.

I’m a Computer Science and Engineering student at Inha University, building end-to-end systems that combine Backend Development with Machine Learning & AI. My research area includes Artificial Intelligence, Machine Learning, Data Analytics, Software Engineering, Database Systems, and Deepfake Technology.

I build full-stack projects with production-minded architecture—e.g., an E-Taklifnoma wedding invitation platform using a Telegram bot, FastAPI backend, and PostgreSQL. I also develop interactive tools like a Weather Forecasting System with Linear Regression and LSTM, plus a Streamlit dashboard for real-time visualization.

I enjoy implementing complete ML workflows, from dataset loading and training loops to evaluation and reporting—like my CNN-based Cucumber Disease Classification using depthwise–separable convolutions. I’m motivated to keep improving performance through model evaluation, hyperparameter tuning, and robust deployment practices.

Experience

Work history, roles, and key accomplishments

Current

E-Taklifnoma Platform

Current

E-Taklifnoma

Oct 2025 - Present (6 months)

Built an end-to-end wedding invitation platform using a Telegram bot, FastAPI backend, and PostgreSQL database. Developed a responsive web app with AJAX RSVP, inline navigation, and multi-language support, and deployed it using Nginx reverse proxy with Cloudflare R2.

fastAPI PostgreSQL REST APIs Reverse Proxy Cloudflare R2 AJAX

Library Management System

Nov 2025 - Dec 2025 (1 month)

Developed a concurrent client-server library management system supporting simultaneous clients. Implemented TCP/IP socket communication with pthread-based multithreading and created a Python Tkinter GUI for admin and member operations.

Pthreads Client Server Architecture Python Tkinter Concurrent Programming Network programming

Weather Forecasting System

Oct 2025 - Dec 2025 (2 months)

Implemented and compared Linear Regression and LSTM models for time-series weather prediction. Built a Streamlit dashboard for real-time visualization and used OpenWeatherMap API with 23+ years of hourly historical data.

Time Series Streamlit OpenWeatherMap API Data Visualization Machine Learning Model Comparison

Cucumber Disease Classifier

Cucumber Disease Classification

Sep 2025 - Nov 2025 (2 months)

Built a convolutional neural network from scratch to classify 8 cucumber diseases. Designed a lightweight architecture using depthwise-separable convolutions and implemented a full ML pipeline including dataset loading, training, evaluation, and confusion-matrix reporting.

Convolutional Neural Networks Depthwise Separable Convolutions Computer Vision Model Evaluation Confusion Matrix Deep Learning

Education

Degrees, certifications, and relevant coursework

INHA University in Tashkent

Bachelor of Computer and Software Engineering, Computer Science and Engineering

2022 - 2026

Grade: 4.06/4.50

Activities and societies: Research areas: AI/ML, data analytics, software engineering, database systems, deepfake technology. GPA: 4.06/4.50 (last semester). Publication (2025): 'A Recommendation System for Gaming Preference Analytics'.

Pursuing a Bachelor in Computer and Software Engineering (CSE) at INHA University in Tashkent. Focus areas include artificial intelligence, machine learning, data analytics, software engineering, database systems, and deepfake technology.