👋 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:
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.

Raghul P's Projects

ai_all_resources

A curated list of Best Artificial Intelligence Resources

flatui

QML controls based on the Flat UI Toolkit (http://designmodo.github.io/Flat-UI/)

flatui-controls-qml

This is custom made and themed QML controls. The controls are made to look and behave just like Flat UI Toolkit.

labelme2yolo

Help converting LabelMe Annotation Tool JSON format to YOLO text file format. If you've already marked your segmentation dataset by LabelMe, it's easy to use this tool to help converting to YOLO format dataset.

pyside2-nvidia-jetson-nano

This repo contains Pyside2 Packages for NVIDIA Jetson Nano

qaterial

🧩 Collection of Material Components based on QtQuickControls2.

step-inside-2d-floorplan-to-3d-walkthrough

Step Inside is a Unity3D based project that lets you draw out a 2D floor plan and instantly converts it to a 3D virtual walkthrough. You can save the walkthrough and view it on Mobile and VR using its unique pin-code!