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fazrigading/README.md

Welcome πŸ‘‹

I am an AI engineer, developer, and researcher, specialized in Computer Vision

fazrigading

I am a Computer Vision Specialist and AI Engineer specializing in object detection, image processing, and deep learning, with a core focus on agricultural and industrial automation. I build and deploy robust, real-world AI detection systems using PyTorch and TensorFlow, specifically optimizing models for high-accuracy visual recognition and plant disease identification.

πŸš€ What I Do

  • Deep Learning & Computer Vision: Designing and fine-tuning state-of-the-art object detection workflows, particularly focusing on lightweight YOLO architectures for edge deployment.
  • Agricultural AI: Engineering systems for automated crop counting, disease classification, and precision yield estimation.
  • Mentorship & Community: Certified TensorFlow Developer and former Machine Learning Mentor at Bangkit Academy 2024H1, where I guided over 25 students through model training, optimization, and production deployment. I also served as a Laboratory Teaching Assistant at Mulawarman University, supporting undergraduate courses in AI, Machine Learning, Data Structures & Algorithms, and OOP.

πŸ“š Research Background

I hold a Bachelor of Computer Science (B.CS. / S.Kom.) from Universitas Mulawarman. Beyond engineering, I actively contribute to academic research in applied AI. I have co-authored multiple Scopus-indexed papers, including Q1 journal submissions in Smart Agricultural Technology and Artificial Intelligence in Agriculture.

πŸ”¬ Scholarly Profiles

ORCID Google Scholar Scopus IEEE Xplore Semantic Scholar Web of Science

🌐 Socials

LinkedIn Email Discord Instagram Quora Reddit X/Twitter Medium Stack Overflow Twitch YouTube

πŸ’» Tech Stack

Tech Stack Language/Tools/Frameworks
Programming Languages Python C++ JavaScript Java C PHP R P5js
Personal Tools Fedora Ghostty Zsh Vivaldi Firefox Visual Studio Code Neovim Cursor NetBeans IntelliJ PyCharm
AI Frameworks PyTorch nVIDIA cuda OpenCV TensorFlow Keras Pandas NumPy Matplotlib Scipy Scikit-learn Anaconda MLflow Kubernetes
Research Tools Kaggle Jupyter PyPi Roboflow Google Colab Obsidian Google Scholar Academia LaTeX
Website Development Node.js Next.js Streamlit TailwindCSS Vite Flask FastAPI React MySQL Postgres Bootstrap HTML CSS Markdown
Mobile Development Flutter Dart Gradle
Project Utilities GitHub GitHub Actions NPM Docker Git Postman Apache Notion Trello Power Bi Selenium
Cloud Services Firebase Vercel Google Cloud AWS Azure Netlify
Game Development Unity Vulkan RenPy OpenGL
Gaming Services Steam Epic Games GOG.com Uplay Riot Games Xbox Origin
GenAI Assistants Google Gemini Claude Github Copilot Qwen Perplexity DeepSeek Ollama
Design & Photography Tools Adobe Photoshop Adobe Illustrator Figma Canva Adobe Lightroom Adobe XD
Learn Code Here Coursera Codecademy CodeChef Codewars freeCodeCamp GeeksforGeeks Khan Academy W3Schools
Currently Learning Rust Go TypeScript

πŸ“Š GitHub Stats

fazrigading's GitHub Streak

πŸ’° Donation

BuyMeACoffee PayPal Ko-Fi

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  1. SessionIntent SessionIntent Public

    A declarative session orchestration system for GNOME Wayland, not a replacement for window tiling management.

    Python 1

  2. RT-DETRv3-CustomDataset RT-DETRv3-CustomDataset Public

    Forked from clxia12/RT-DETRv3

    Enhanced RT-DETRv3 Forked Repository for CUSTOM DATASET

    Python 1

  3. skripsi-informatika-unmul skripsi-informatika-unmul Public

    Format Dokumen Skripsi yang telah diberikan fitur Daftar Isi, Bab-Subbab, Daftar Tabel-Gambar-Lampiran yang Otomatis.

    Python 1

  4. ingatini ingatini Public

    [In-Progress] Lightweight Retrieval-Augmented Generation (RAG) app for uploading documents and asking AI-powered questions about them. Built with FastAPI, LangChain, PostgreSQL, and Gemini.

    Python

  5. playstation-game-store playstation-game-store Public

    Playstation Game Store is a native HTML, CSS, and JS website project for Web Programming 2022 course in Informatics UNMUL.

    PHP 10 12

  6. CAD-glaucoma CAD-glaucoma Public

    A CAD system for glaucoma diagnosis based on ONH in fundus images, uses U-Net to segment the OC-OD to calculate the CDR, and assist ophthalmologists.

    TypeScript 1