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mirzasnowy/README.md
Wolf Background
Muhammad Mirza

Software Engineer  ·  AI, RAG & LLM systems  ·  Android & backend


  About

Software Engineer focused on AI. I design, build, and ship RAG and LLM systems, backed by a foundation in Android and backend development.

  • Bangkit 2024 cohort, one of 4,600 selected from 45,000+ applicants
  • Former Software Engineer at the House of Representatives of Indonesia
  • Currently building a RAG Adaptive Memory System
  • Open to opportunities.

  Tech Stack

AI / Machine Learning

Python PyTorch TensorFlow LangChain Hugging Face scikit-learn

Mobile

Kotlin Flutter Android

Frontend

Next.js React Tailwind CSS shadcn/ui

Backend & Database

FastAPI Flask PostgreSQL Supabase Firebase Docker

  GitHub

GitHub Streak

Contribution Graph

  Connect

LinkedIn     Email     GitHub



Profile views

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  1. Comparative-Analysis-of-Machine-Learning-Models-for-Diabetes-Prediction Comparative-Analysis-of-Machine-Learning-Models-for-Diabetes-Prediction Public

    Jupyter Notebook

  2. NeuroScan-AI NeuroScan-AI Public

    This project employs TensorFlow with the VGG16 transfer learning architecture for classifying brain MRI scans from uploaded files and images, achieving 96% accuracy. Users can connect with the Neur…

    Jupyter Notebook 1

  3. Sonic-Source Sonic-Source Public

    Sonic Source is a song finder website where users can upload a video file and easily discover the corresponding song title. Simply select the video file you want to analyze, and in no time, Sonic S…

    PHP

  4. K-Pop-Superstars-App K-Pop-Superstars-App Public

    this is submission for Dicoding Course "Android Beginner" using Kotlin

    Kotlin

  5. Park-Finder Park-Finder Public

    Dart