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mmaisa1/README.md

Hi there! I'm Medha Maisa 👋

🎓 About Me

Graduate Student in Computer Science @CSUDH | Software Engineer with 2+ years @TCS
Passionate about AI/ML Research, Backend Development, and Innovative Technology Solutions

🔬 Current Focus

  • 🧠 Advanced AI/ML research with Large Language Models
  • 🔗 Blockchain integration and spatial computing
  • 🖥️ Full-stack web development
  • 🛡️ Cybersecurity and network analysis

💼 Professional Experience

  • Software Engineer @TCS (2+ years): Backend development, telecom systems
  • Graduate Research: Medical text classification using LLMs
  • Academic Projects: Network security, blockchain interfaces, full-stack applications

🛠️ Tech Stack

Languages: Python, Java, C++, JavaScript
AI/ML: BERT, scikit-learn, pandas, numpy, transformers
Web: React, Flask, HTML5, CSS3
Database: MySQL, SQLite
Tools: Git, Docker, Jenkins, Linux

🚀 Featured Projects

📊 GitHub Stats

GitHub Stats Top Languages

📫 Let's Connect!

LinkedIn
LeetCode
HackerRank

🎯 Currently Seeking

Software Engineering opportunities | Expected graduation: December 2025

🔬 This profile showcases graduate-level AI/ML research capabilities with real-world software engineering experience.

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  1. mmaisa1 mmaisa1 Public

    My GitHub profile README.

  2. Medical-Text-Classification-LLMs Medical-Text-Classification-LLMs Public

    Advanced NLP research project implementing LLMs for medical text classification on TCGA and IMR datasets.

    Jupyter Notebook

  3. Network-Intrusion-Detection-System Network-Intrusion-Detection-System Public

    High-accuracy ML solution for network security using ensemble classifiers (Random Forest, XGBoost, Extra Trees).

  4. VR_Algorand_Project VR_Algorand_Project Public

    🌐 Innovative browser-based VR interface for cryptocurrency transactions using Algorand blockchain APIs. First-of-its-kind spatial computing approach to DeFi, integrating Pera Wallet with immersive …

    HTML

  5. Qr-reminder-project Qr-reminder-project Public

    📱 Full-stack web application with QR code-based reminder generation system. Built with Python Flask backend, JavaScript frontend, and SQLite database. Features user-friendly interface for creating,…

    Python