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ryusr/README.md

Phetphat Sanesri

AI & Machine Learning Developer | ITD Student | LLM Applications Specialist


About

I am Phetphat Sanesri, an Information Technology & Digital Innovation student at Bangkok Suvarnabhumi University, Thailand. I specialize in artificial intelligence, machine learning, and large language model applications with a focus on practical implementations and research.

Contact: aegitstestsolitude@gmail.com


Education & Focus

  • University: Bangkok Suvarnabhumi University
  • Major: Information Technology & Digital Innovation
  • Current Research: RAG Systems, Intelligent Agents, Mathematical ML
  • Learning Focus: Mathematical Foundations for ML, LangChain Framework, Keras Implementation

Technical Expertise

Programming Languages

  • Python
  • JavaScript / TypeScript
  • C# / C++ / C

AI & Machine Learning

  • TensorFlow
  • PyTorch
  • Keras
  • LangChain

Database & Cloud

  • PostgreSQL
  • MySQL
  • Google Cloud Platform

Development Tools

  • Git
  • VS Code
  • Vim
  • Figma

Research Interests

  • Development of intelligent RAG systems for enterprise applications
  • Mathematical foundations of machine learning algorithms
  • Large Language Model optimization and deployment
  • Deep Learning architectures and implementations

Professional Links


Currently focused on advancing AI/ML research and building practical applications for real-world problems.

Popular repositories Loading

  1. Text-Classification Text-Classification Public

    text_classification a program to classify words or sentences as positive or negative developed with sklearn

    Python

  2. Skin-Lesion-Detection Skin-Lesion-Detection Public

    A deep learning-based application for detecting and classifying various types of skin lesions and diseases. This project uses convolutional neural networks to analyze skin images and provide predic…

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  3. ryusr ryusr Public

    about me

  4. chatbot-page-practice chatbot-page-practice Public

    his project is a simple chat interface design for a Chat Bot. There is no fine tuning or Retrieval-Augmented Generation (RAG) involved. It is suitable for those who want to learn or experiment with…

    Python