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abeshahsan/README.md

Hi, I'm Abesh Ahsan

Software Engineer ML Researcher
Status

About Me

I'm a Computer Science and Engineering graduate from Islamic University of Technology (IUT) with a CGPA of 3.72. I specialize in building scalable desktop, mobile, and web applications, with a strong interest in machine learning and computer vision.

What I Do

  • Recent CSE graduate passionate about transforming ideas into scalable solutions
  • Full-stack developer experienced in React, Next.js, Flutter, Node.js, and Unity
  • Conducted research on transformer-based weakly supervised semantic segmentation, achieving 50% mIoU
  • Game Development Trainee at Battery Low Interactive, specializing in Unity and C#
  • Quick learner who enthusiastically embraces emerging technologies
  • Actively seeking software engineering opportunities to contribute to innovative projects

Experience

Game Development Trainee @ Battery Low Interactive (October 2024)

  • Designed and built games from the ground up using Unity and C#
  • Developed physics-based games with custom movement mechanics and collision handling
  • Implemented interactive UI elements, animations, and scene management
  • Explored AR/VR fundamentals and real-time interaction design

Technical Skills

Languages

Python JavaScript TypeScript Dart C++ Java C# SQL

Frameworks & Libraries

React Next.js Flutter Node.js Express.js PyTorch TailwindCSS Unity

Tools & Technologies

Git GitHub MongoDB MySQL SQLite Docker Socket.io Redux

Let's Connect

GitHub LinkedIn Portfolio Email

I'm always interested in discussing software development, machine learning, and innovative tech solutions. Feel free to reach out!

"Practical creation is the most effective way to learn"

Pinned Loading

  1. VS-Leet VS-Leet Public

    LeetCode integration for Visual Studio Code — browse, solve, test, and submit problems directly from your editor.

    JavaScript

  2. semantic-segmentation-from-scratch semantic-segmentation-from-scratch Public

    From-scratch PyTorch implementations of U-Net and DeepLabV3+ for semantic segmentation, trained on Carvana (binary) and Cityscapes (multi-class) datasets—ideal for learning encoder-decoder architec…

    Jupyter Notebook

  3. voice_reminder voice_reminder Public

    Dart

  4. Photo-Wizard Photo-Wizard Public

    Python 2

  5. Tilawah Tilawah Public

    JavaScript 2

  6. ChessDuel ChessDuel Public

    TypeScript