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sahajrajmalla/README.md

Hello World 👋, I'm Sahaj Raj Malla - aka [S.T.E.M. Geek]

I'm a Mathematician, Programmer and Researcher.


  • 🔭 I’m currently learning Computational Complexity and Quantum Computation 🧠
  • 👯 Looking to collaborate on Research Papers and Open-Source Projects.
  • 🥅 Goal: Contribute to cutting-edge research and build innovative solutions.
  • ⚡ Fun fact: I love to play violin , football and learn new stuffs.

🔗    Connect with me:


linkedin    twitter



My Techstack:

Mathematics

  • Linear Algebra
  • Complex Number
  • Calculus
  • Statistics
  • Probability

Web Application Development

  • Frontend Tools

HTML5

HTML5

HTML5

HTML5

HTML5

HTML5

HTML5



  • Backend Tools

HTML5

HTML5

HTML5

HTML5

HTML5



  • Database

HTML5

HTML5

HTML5

HTML5

HTML5



Data Science

HTML5

HTML5

HTML5

HTML5

HTML5

HTML5



Cloud Computing

HTML5

HTML5



Quantum Computing

HTML5



Management Tools

HTML5

HTML5

HTML5

HTML5



Operating System

HTML5

HTML5

HTML5




codeSTACKr's GitHub Stats

Sahaj Raj Malla Lines of codes

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  1. greatapi greatapi Public

    GreatAPI framework, Full-stack FastAPI framework

    HTML 75 9

  2. sahajmails sahajmails Public

    Send personalized bulk emails — Free, Secure, Simple

    Python 2 1

  3. nepali-news-classification nepali-news-classification Public

    DistilBERT model with Sequence Classification on 9 newsgroup datasets for the Nepali language with 95.475% accuracy.

    Jupyter Notebook 10 1

  4. landmark-based-urban-navigation landmark-based-urban-navigation Public

    This project uses geospatial technologies, landmark-based addressing, and route optimization to improve urban navigation. It integrates OSM, H3, and machine learning to optimize travel routes and p…

    Jupyter Notebook 4

  5. dhumbal-ai dhumbal-ai Public

    Code and simulations for "Optimizing AI Agents for Dhumbal," the first AI study of the Nepali card game, featuring a 88.3% win rate by the Aggressive agent over 1024 rounds. Supports reproducibilit…

    Jupyter Notebook 1

  6. devanagari-digit-recognition-using-quantum-machine-learning devanagari-digit-recognition-using-quantum-machine-learning Public

    Hybrid quantum-classical model for Devanagari digit classification, achieving 99.80% accuracy on DHCD. Includes scripts for training, evaluation, and visualizations.

    Jupyter Notebook 1