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NoobieDYG/README.md

πŸ’« About Me:

I’m a BTech student who enjoys building end-to-end systems that combine backend engineering with computer vision. I’ve worked on DOOH customer engagement platforms where real-time video pipelines connect cleanly with APIs, data logging, and service orchestration.

On the backend side, I like designing scalable FastAPI services, working with WebSockets, threading, and clean system boundaries. On the computer vision side, I focus on making models practical handling tracking, performance constraints, and real-time consistency rather than just running inference.

I care a lot about system design, code clarity, and understanding how things work under the hood. Right now, I’m focused on sharpening my backend skills while maintaining a solid CV foundation.

Tech I use often: Python, FastAPI, REST & WebSockets, PyTorch, OpenCV, YOLOv8, Tracking Pipelines, System Design Currently an Intern @Rewardsy Portfolio

🌐 Socials:

LinkedIn Twitch X YouTube email

πŸ’» Tech Stack:

Python JavaScript Java HTML5 C nVIDIA FastAPI Flask Jinja OpenCV Qt Streamlit Socket.io MySQL SQLite Adobe Keras Matplotlib NumPy Pandas Plotly PyTorch scikit-learn Scipy TensorFlow Git GitHub GitHub Actions Docker nVIDIA Riot Games Ubisoft Steam Unity

πŸ“Š GitHub Stats:



πŸ† GitHub Trophies

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  1. R3GE-CrowdFlow R3GE-CrowdFlow Public

    Python 1

  2. log_classifier_model log_classifier_model Public

    Jupyter Notebook

  3. store_managment store_managment Public

    Python