Skip to content
View RegalArtifex's full-sized avatar
4 followers · 15 following

Achievements

Achievement: Pull Sharkx2Achievement: Quickdraw

Achievements

Achievement: Pull Sharkx2Achievement: Quickdraw

Block or report RegalArtifex

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
RegalArtifex/README.md

👋 Hello, I'm Raghul P.

I am an AI Developer specializing in Computer Vision and Deep Learning. With a strong foundation in both the theoretical and practical aspects of AI, I am passionate about solving complex problems using cutting-edge technologies.

🧠 Expertise

  • Programming Languages & Tools:

    Python PyTorch OpenCV scikit-learn TensorFlow Keras FastAPI

    Docker GitHub mlflow Firebase Qt Anaconda

  • Technologies & Concepts:

    • Deep Neural Networks (DNNs)
    • Convolutional Neural Networks (CNNs)
    • Object Detection, Segmentation, Tracking
    • Design Patterns, Actor Model for Concurrency, Software Architecture
    • CI/CD, Gitflow, GitHub, Jenkins, DVC, MLFlow, DagsHub

  • Hardware: Nvidia Jetson Nano, Raspberry Pi

🎓 Education & Certifications

  • B.Tech in Artificial Intelligence and Data Science
  • Coursera Certifications
    • Machine Learning Specialization 📑
  • NVIDIA Certifications:
    • Fundamentals of Deep Learning
    • Getting Started with Deep Learning
    • Building Video AI Application at the Edge on Jetson Nano

🚀 Goals

I am on a continuous journey to deepen my expertise in AI and Deep Learning, with the aspiration of becoming a leading expert in the field.

Pinned Loading

  1. GradLite GradLite Public

    GradLite is a teeny tiny practice implementation of Autograd from scratch

    Jupyter Notebook

  2. PySide-QML-Widgets PySide-QML-Widgets Public

    Reusable QML widgets written in QML for PySide Applications

  3. achuthaperumal/PySide2-NVIDIA-Jetson-Nano achuthaperumal/PySide2-NVIDIA-Jetson-Nano Public

    This repo contains Pyside2 Packages for NVIDIA Jetson Nano

    1 1