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niteshg97/README.md

नमस्ते (Namaste) 🙏🏻, I'm Nitesh Kumar!

Machine Learning Researcher & Deep Learning Engineer • Edge AI Optimization • Scientific ML

Exploring Low latency Deep Learning with FPGA & GPU-accelerated ML -- evaluating accuracy, latency, and hardware resource trade-offs for real world deployment.


🌐 Connect With Me

Linkedin: nitesh Email


💻 A Little More About Me

struct Nitesh {
    string pronouns = "He/Him";

    vector<string> languages = {
        "Python", "C++", "MATLAB", "Java"
    };

    vector<string> researchInterests = {
        "Deep Learning",
        "Embedded Intelligence"
    };

    map<string, vector<string>> tools = {
        {"Frameworks", {"PyTorch", "TensorFlow", "scikit-learn", "hls4ml"}},
        {"Edge AI", {"TensorRT", "CUDA", "Jetson Xavier NX"}},
        {"Robotics", {"ROS2", "PX4", "YOLOv8", "OpenCV"}},
        {"Data Science", {"RAPIDS", "Pandas", "NumPy", "Matplotlib"}}
    };

    string currentFocus =
        "Efficient ML models for constrained hardware";

    string funFact =
        "I think in tensors more than in sentences 😄";
};

int main() {
    Nitesh nitesh;
    return 0;
}

My Tech Stack



Pinned Loading

  1. Low-Latency-Transformer-Inference-on-FPGAs-for-Anomaly-Detection-on-ECGs Low-Latency-Transformer-Inference-on-FPGAs-for-Anomaly-Detection-on-ECGs Public

    This project successfully implements a Hardware-Aware Transformer for detecting cardiac anomalies in ECG signals, optimized for Low Latency Inference on FPGAs (Field Programmable Gate Arrays).

    C++ 1

  2. GPU-Based-Machine-Learning-for-Higgs-Boson-Process-Classification GPU-Based-Machine-Learning-for-Higgs-Boson-Process-Classification Public

    This repository contains a GPU-first, end-to-end workflow for discriminating Higgs-boson signal events from background events using the UCI HIGGS dataset. The pipeline supports GPU-accelerated prep…

    Jupyter Notebook 1

  3. Real-time-edge-AI. Real-time-edge-AI. Public

    Hardware-aware ML co-design for FPGAs using hls4ml. This project optimizes a Keras HAR neural network using 16-bit quantization and 80% pruning. The result is a low-latency, low-power design ideal …

    C++ 1

  4. Autonomous-Navigation-Aerial-Vehicle-ANAV-ISRO-IRoC-U-2025 Autonomous-Navigation-Aerial-Vehicle-ANAV-ISRO-IRoC-U-2025 Public

    Report of ISRO robotics Challange_2025

    Python 1

  5. KidneyViT-A-Vision-Transformer-for-Classifying-Kidney-Abnormalities KidneyViT-A-Vision-Transformer-for-Classifying-Kidney-Abnormalities Public

    This report details the development and performance of KidneyViT, a Vision Transformer (ViT) model built from scratch to classify medical CT scans. The model was trained on the "CT KIDNEY DATASET" …

    Jupyter Notebook 1

  6. My_LeetCode_Practice-For-Interview-Prep. My_LeetCode_Practice-For-Interview-Prep. Public

    LeetCode Problem Practice to Ace Coding Interviews.

    C++