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💫 About Me:

I’m an aspiring software developer passionate about building real-world projects using modern technologies. I have a strong interest in web development, cloud computing (Azure), and AI-based solutions.

Currently, I’m working on projects like a RAG-based AI Teaching Assistant and exploring full-stack development with .NET and cloud databases. I enjoy learning new technologies and solving practical problems through code

🌐 Socials:

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💻 Tech Stack:

HTML5 Java Python Azure .Net Pandas NumPy PyTorch Matplotlib Git Power Bi

📊 GitHub Stats:




Popular repositories Loading

  1. Trader-Performance-VS-Market-Sentiment Trader-Performance-VS-Market-Sentiment Public

    Analyze how Bitcoin market sentiment (Fear/Greed) influences trader behavior and performance on the Hyperliquid platform, and derive actionable insights for sentiment-aware trading strategies.

    Jupyter Notebook

  2. Fraud-Detection-Case-Study Fraud-Detection-Case-Study Public

    Machine learning-based fraud detection on financial transactions

    Jupyter Notebook

  3. Sports-Pose-Analysis Sports-Pose-Analysis Public

    Pose-Based Sports Biomechanics Analysis using Computer Vision End-to-end pose estimation and movement analysis pipeline for side-view sports videos, extracting interpretable biomechanics metrics su…

    Python

  4. Transfer-Learning-Based-Image-Classification Transfer-Learning-Based-Image-Classification Public

    This project implements an end-to-end image classification system using transfer learning with VGG16 pretrained on ImageNet, built with PyTorch. The model is trained on the CIFAR-10 dataset and ach…

    Python

  5. RAG-Based-AI-Teaching-Assistant RAG-Based-AI-Teaching-Assistant Public

    The RAG (Retrieval-Augmented Generation) AI Teaching Assistant is an intelligent learning system that enhances traditional AI responses by combining information retrieval with generative models.

    JavaScript

  6. -Self-Driving-Car-using-Reinforcement-Learning -Self-Driving-Car-using-Reinforcement-Learning Public

    This project implements a self-driving car agent using Proximal Policy Optimization (PPO) in the CarRacing-v2 environment.

    Jupyter Notebook