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hitesh-bhatnagar/README.md

Typing SVG

👨‍💻 About Me

Electronics & Communication Engineer bridging the gap between High-Performance Computing and Deep Learning. I don't just use AI frameworks; I build the engines that run them.

🚀 Current Focus: Optimizing LLM Inference, Real-time Signal Processing, and Low-latency Embedded Kernels.

🛠️ Tech Stack & Tools

Tech Stack Icons

🛠️ Tech Stack & Tools

👨‍💻 Core Programming Languages

Python Java C C++ Embedded C R Verilog MATLAB

🧰 Dev Tools & IDEs

VSCode IntelliJ IDEA Android Studio Flutter Dart Jupyter RStudio Replit

☁️ Cloud & Platforms

AWS Google Colab Streamlit PostgreSQL MySQL

🔧 Simulation & Embedded

Proteus ModelSim MultiSim Keil uVision Vivado NetSim FPGA

🤖 AI / ML / DL

TensorFlow PyTorch Keras Scikit-learn TF Lite NumPy Pandas OpenCV Seaborn

📊 Data & Visualization

Matplotlib Seaborn SHAP

🗄️ Databases & Version Control

Git GitHub PostgreSQL MySQL

🖥️ Operating Systems & Environments

Linux Arch Linux Red Hat Ubuntu Windows

🔧 Miscellaneous & Frameworks

Anaconda Flutter Regex PKL File Maven LaTeX Notion MS Office

📊 GitHub Insights

Contribution Graph

🤝 Let’s Connect

Email LinkedIn GitHub Twitter

“Turning data into insights, one model at a time.”

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  1. Crypto-Sentiment-Trading-Analysis Crypto-Sentiment-Trading-Analysis Public

    Jupyter Notebook 1

  2. Embedded-RTOS-Simulator-C-Learning-Project Embedded-RTOS-Simulator-C-Learning-Project Public

    A Learning Project for Real-Time OS Concepts, Task Scheduling, and Embedded Systems

    C 1

  3. Embedded_Systems Embedded_Systems Public

    Github repo that documents each stage of my journey to learn Embedded systems

    C 1

  4. Expense-Tracker_App_with_ML Expense-Tracker_App_with_ML Public

    Python 1

  5. Telco-Customer-Churn-Predictor-Full-Stack-ML-App- Telco-Customer-Churn-Predictor-Full-Stack-ML-App- Public

    Tech Used: Python, Scikit-Learn, LightGBM, FastAPI, Streamlit, SHAP

    Jupyter Notebook 1

  6. Nano-RAG-CPP Nano-RAG-CPP Public

    A high performance, containerized Local LLM Inference Engine build in C++. Features a custom RAG system, Agentic File I/O tools, and Docker deployment.

    C++ 1