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Hi, I’m

Ejaz Uddin Swaron

Computer Science Student • AI/ML & Backend Enthusiast

Dhaka, Bangladesh

Top 10 Rubik’s Cube

I love building things and solving problems. Right now I’m sharpening my AI and Machine Learning skills with Python, focusing on data analysis, experimentation, and model building, In Sha Allah.

Portrait of Ejaz Uddin Swaron

Interests

Artificial Intelligence

Designing systems that learn from data and assist humans in decision‑making.

Machine Learning

Building models in Python (NumPy, pandas) to recognize patterns and make predictions.

Data Science

Exploring datasets using pandas, seaborn, and Matplotlib to tell clear stories with data.

Deep Learning

Neural nets learning complex patterns for vision and language.

Rubik’s Cube

Speedcubing: focus, patterning, and fast problem‑solving.

Competitive Programming & Problem Solving

DSA practice and optimization; 500+ LeetCode in C++/Python.

Skills

Languages
C++ Python SQL HTML CSS
Frameworks & Libraries
Django Django REST Framework Flask Socket.IO Tailwind CSS NumPy pandas seaborn Matplotlib
Databases
PostgreSQL MySQL Supabase
DevOps & Hosting
Render REST APIs
Tools
Git GitHub Linux (basic) VS Code Figma (basic) Google Colab Jupyter Notebook

Language Proficiency

English
Proficient
Bangla
Native

Projects

Award Winner
The Quiet Game - UIU HackDay 2026 Team Photo
The Quiet Game Featured

Multiplayer sign-language acting game (Skribbl-style)

A real-time multiplayer game where players act out words using sign language while others guess. Built with WebRTC for peer-to-peer video streaming and Flask-SocketIO for real-time game synchronization. Demonstrates expertise in backend development, real-time communication, and WebSocket integration.

Python Flask Socket.IO WebRTC Vanilla JS
Judges' Choice Award — UIU HackDay 2026
GitHub
AI/ML Project
Employee Attrition Predictor ML Course Final

AI-powered employee turnover prediction tool

An AI-powered tool built with Python and Gradio to predict employee turnover based on various workplace factors. This was the final exam project for the Machine Learning course within Phase 2 at Phitron. Features a user-friendly web interface for making predictions on employee attrition probability.

Python Gradio Scikit-Learn Pandas NumPy Hugging Face
Final Exam Project — Phitron Machine Learning Course (Phase 2)
Wander Nest (Backend)

Tourism platform backend API

Developed RESTful APIs using Django REST Framework. Integrated Supabase for data storage and deployed backend on Render.

Django REST Framework Python Supabase Render
GitHub
Shariah Banking Management System

Full‑stack banking app following Islamic finance

Educational project built with Django. Features Hajj savings, loan management, account transactions, and Zakat reminders. Responsive frontend with HTML and Tailwind CSS.

Django Tailwind CSS PostgreSQL Render
Live Demo

Achievements

Judges' Choice Award — UIU HackDay 2026 Latest

Organizer: United International University

Won for developing "The Quiet Game" — a multiplayer sign-language acting game using WebRTC and Flask-SocketIO. Recognized for innovation in real-time communication and inclusive game design.

View Project
6th Place — Rubik’s Cube Championship

Organizer: UIU Sports Club

Recognized among top performers in speedcubing (3x3). View certificate below.

100‑Day Coding Streak — LeetCode

500+ problems solved in C++ and Python.

View Badge

About Me

Computer Science student with a strong interest in backend development and AI/ML. Experienced in building RESTful APIs using Django and Django REST Framework, with database handling in PostgreSQL and MySQL. Recently I have been focusing on data analysis and machine learning with Python, working in Google Colab, practicing pandas and NumPy, and visualizing data using seaborn and Matplotlib. I have solved 500+ problems on LeetCode using C++ and Python, including many data‑related problems. Completed Phitron's software development tracks. Currently seeking an internship or junior developer role.

Education

B.Sc. in Computer Science & Engineering
United International University

CGPA: 3.54/4.0

2022 — Present

Contact Me