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RamadhaRanuh/README.md

Hi there! 👋 I'm Rama Ranuh

About Me

I'm an Undergraduate Computer Science Student passionate about Data Science, Machine Learning, and Software Development. My goal is to utilize technology to address real-world challenges and develop effective solutions.

I'm currently

  • 🎓 Studying Computer Science at BINUS University.
  • 🖥️ Interning as an AI Engineer at GDP Labs, applying cutting-edge AI technologies in a professional environment.
  • 💡 Working on exciting projects:
    • 🤖 Data Synthetic Multi Agentic System: Developing intelligent agents for synthetic data generation.
    • 🤖 AI Mock Interview using Vapi: Building an AI-powered mock interview platform utilizing Vapi for realistic interactions.
    • 🤖 RAG-based Retrieval Chatbot: Creating an advanced chatbot using Retrieval Augmented Generation (RAG) with the state-of-the-art Deepseek-R1-Distill-Llama-8B model for highly accurate and contextual responses.

Let's Connect!

🛠️ My Tech Stack

Programming Languages:

Python C Java JavaScript TypeScript

Frameworks & Libraries:

React Streamlit Gradio LangChain TensorFlow PyTorch

GitHub Stats

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  1. Natural-Language-Processing-Chatbot Natural-Language-Processing-Chatbot Public

    This project implements an AI chatbot using Large Language Models (LLM) and Retrieval Augmented Generation (RAG) techniques to provide detailed answers based on knowledge extracted from PDF documents.

    Jupyter Notebook

  2. Patient-s-Condition-Classification-Using-Drug-Reviews Patient-s-Condition-Classification-Using-Drug-Reviews Public

    Analyze the disease description to predict the specific medical condition or diagnosis using advanced machine learning algorithms (XGBoost, PAC, LR) and natural language processing techniques (TF-I…

    Jupyter Notebook 1

  3. Hyperpigmented-Skin-Disease-Classification Hyperpigmented-Skin-Disease-Classification Public

    This project investigates the most effective deep learning techniques for the identification and classification of hyperpigmented skin diseases. We explore various pre-trained models to determine w…

    Python 1

  4. Sentiment-Analysis-Through-YouTube-Scraping Sentiment-Analysis-Through-YouTube-Scraping Public

    This project leverages Google Cloud YouTube API v3 to scrape user comments from YouTube videos, aiming to uncover valuable insights into audience sentiments.

    Jupyter Notebook

  5. From-Scratch From-Scratch Public

    This repository contains my "from-scratch" implementations documenting my journey as an AI Engineer

    Python