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tsundgerhen/README.md

💫 About Me:

I’m a frontend and backend developer, currently studying at MUST. I enjoy
building clean, responsive websites from the ground up and crafting solid backend
systems that are reliable and easy to work with. Lately, I’ve also been diving into
computer vision — working on AI-powered tools like person tracking from CCTV footage,
license plate detection, and more. I love combining practical coding with smart AI
models to build systems that actually solve real-world problems.

🌐 Socials:

Facebook Instagram email

💻 Tech Stack:

C C++ Haskell Java JavaScript LaTeX Python Firebase Vercel Express.js Nodemon PNPM React Next JS NestJS NPM NodeJS Socket.io MongoDB MySQL Prisma Firebase MicrosoftSQLServer Scipy NumPy scikit-learn PyTorch TensorFlow Git GitHub GitLab ESLint Docker Postman Unity


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  1. DynoTune DynoTune Public

    DynoTune is a thesis-driven Windows application that explores workload-aware optimization of power consumption, thermals, and acoustic behavior on AMD-based PCs through monitoring, logging, classif…

    C#

  2. mongolian_licence_plate mongolian_licence_plate Public

    YOLOv8-Based Mongolian License Plate Detection A computer vision project built from scratch using YOLOv8 to detect Mongolian license plates. Trained on the mlub-mongolian-car-plate-prediction dataset.

    Jupyter Notebook

  3. portfolio portfolio Public

    My personal Portfolio using NextJS and chakraUI

    TypeScript

  4. PersonTracker PersonTracker Public

    This project focuses on the AI components of a person-finding system, leveraging facial recognition, gait analysis, and object detection to accurately identify individuals from video footage or CCT…

    Python