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maharab549/README.md

Maharab-Hossen

💫 About Me:

Hello! I'm Maharab Hossen, a developer and researcher passionate about building intelligent, scalable, and impactful technologies. My work focuses on artificial intelligence, system architecture, and intelligence computing, with a strong focus on solving real-world challenges through research and innovation. Currently, I am doing my undergraduate studies in the Department of Artificial Intelligence, majoring in Computer Science and Technology. I am expected to graduate in 2027.

🔬 Research Interests

My primary research areas are:

  • System Architecture & Intelligent Computation – Designing efficient, scalable, and intelligent computing systems, distributed architectures, optimization algorithms, and performance-driven software solutions.
  • Large Language Models (LLMs) & Artificial Intelligence – Exploring foundation models, generative AI, agentic AI systems, retrieval-augmented generation (RAG), multimodal AI, and real-world AI applications.

💻 Technical Interests

Beyond research, I enjoy developing practical solutions across multiple domains:

  • 🤖 Artificial Intelligence & Computer Vision – Deep learning, object detection, image segmentation, and intelligent vision systems using PyTorch, TensorFlow, OpenCV, and YOLO.
  • 🚗 Robotics & Autonomous Systems – ROS1/ROS2, embedded AI, Jetson platforms, sensor fusion, and real-time autonomous control systems.
  • 🌐 Software & Web Development – Building scalable, secure, and high-performance applications using Python, Flask, FastAPI, Streamlit, HTML, CSS, and modern web technologies.
  • 🔐 Blockchain & Cybersecurity – Researching decentralized applications, secure digital identity, cryptographic systems, and trustworthy computing.
  • 🌍 Multilingual AI – Developing AI solutions that support Bangla, English, and other languages to make intelligent technologies more accessible.

🚀 Moto

I believe the best way to learn is by building. Every project I create represents another step in my journey as an engineer and researcher. I actively contribute to open-source projects, enjoy collaborating with developers and researchers worldwide, and continuously explore emerging technologies that can create meaningful impact.

"活到老，学到老"

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🌐 Socials:

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💻 Tech Stack:

C# C++ C PHP Windows Terminal Python JavaScript Java HTML5 CSS3 AWS Google Cloud Cloudflare Anaconda nVIDIA Laravel NPM OpenCV ROS React Web3.js AmazonDynamoDB Adobe Adobe After Effects Adobe Creative Cloud Aseprite Figma Krita Invision Canva Blender Adobe Dreamweaver Adobe Illustrator Adobe InDesign Adobe Lightroom Adobe Photoshop PyTorch TensorFlow Git

📊 GitHub Stats:



🏆 GitHub Trophies

🔝 Top Contributed Repo

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  1. Ultra-LLM-Engine Ultra-LLM-Engine Public

    Dependency-light NumPy/CUDA reference engine for quantized LLM inference with offload, paged KV cache, batched decoding, checkpoint loading, and speculative decoding.

    Python

  2. M-Reslight_A-Deep-Residual-Reinforcement-Learning-Framework M-Reslight_A-Deep-Residual-Reinforcement-Learning-Framework Public

    M-Reslight is a deep reinforcement learning framework for urban traffic signal control in simulation. The goal is to reduce average vehicle waiting time while maintaining throughput and operational…

    Jupyter Notebook 1

  3. vehicle-former vehicle-former Public

    A Graph-Augmented Causal Transformer with World Model for Zero-Shot Generalization in Multi-Network Intelligent Connected Vehicle Systems

    Python 4

  4. ai-accelerator-compiler ai-accelerator-compiler Public

    A specialized compiler that optimizes deep learning models for AI accelerators with operator fusion, memory optimization, and hardware-specific passes.

    Python 3

  5. adaptive-dbscan-rl adaptive-dbscan-rl Public

    Traditional DBSCAN clustering requires manual tuning of eps (neighborhood radius) and min_samples parameters, which can be time-consuming and dataset-dependent. Adaptive DBSCAN RL solves this by tr…

    Python 3

  6. Autonomous-Driving-vison-Based Autonomous-Driving-vison-Based Public

    This repository contains an autonomous driving system powered by computer vision and deep learning. The project is designed to run on embedded platforms (e.g., NVIDIA Jetson Nano) and demonstrates …

    C++ 3