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phrugsa-limbunlom/README.md

About Me

โœจ I have a strong passion for pioneering advancements in AI. I have hands-on experience implementing machine learning and deep learning models to solve regression and classification problems, including

Project Link
Financial Forecasting RNN-based GANs
Satellite Image Classification CNNs
X-ray Image Localization GradCAM
2D-landing Control System ANNs
Biochemical Production rf,xgboost,svm

I am now eager to design sophisticated AI workflows for generative and automation tasks using Generative AI and AI agents. The example projects include:

Project Link
AI-powered shopping assistant PickSmart
Machine Translation Transformer

I am also interested in exploring world models to tackle reasoning challenges, specifically the cognitive function in current models.

Education

๐ŸŽ“ Master's degree in AI with Distinction, University of Essex

๐ŸŽ“ Bachelor's degree in Computer science, Mahidol University

Work Experience

๐Ÿ’ป Software engineer (backend) implements microservices and API integration for robust and scalable software.

๐Ÿ” Quality analyst conducts manual and automated testing for high-quality software standards. (Cypress, Appium)

๐Ÿค Having experience working with global IT consulting firms and have been involved in projects utilizing Agile methodology.

Industry-based Project Interest

I am passionate about developing AI-driven software solutions to address business challenges and drive growth. My primary focus is creating software that seamlessly integrates Generative and Agentic AI to optimize and enhance business processes. I also aim to develop user-friendly software that can solve real-world challenges and make it more convenient for users without a technical background.

Research Interest

My research interests focus on enhancing cognitive function in the current machine intelligence system. I am also interested in researching approaches to tackle reasoning challenges in current LLM and multimodal systems, especially vision-related tasks. I am currently studying the feasibility of leveraging Joint-embedding predictive architecture (JEPA) and energy-based models to address such problems. I aim to build an intelligence system that requires a small training sample to learn new situations.

I have developed a research proposal outlining my idea. Please feel free to contact me at phrugsa.lim@gmail.com to discuss it.

Certificates

Others

A collection of algorithms implemented by Java (algoj), Scala (algos), and Python (algopy) for practicing. LeetCode user phrugsa-lim

Profile Summary

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  1. PickSmart PickSmart Public

    PickSmart AI-powered shopping assistant platform for personalized product recommendations implemented by Groq API, Tavily, Langchain, and Langgraph

    Python 3

  2. SeGAN SeGAN Public

    The project leverages the integration of sentiment analysis from the FINBERT and RNN-based GAN models to predict Microsoft stock prices. (Dissertation 2024).

    Python

  3. azure-ai-services azure-ai-services Public

    A collection of AI applications utilizing Azure AI services, including OpenAI, Search, Language, Speech, and Vision.

    Python

  4. GenAI-lab GenAI-lab Public

    A collection of study lab for building Agentic RAG and AI agents.

    Python

  5. transformer-machine-translation transformer-machine-translation Public

    Transformer architecture for machine translation from English to Thai.

    Python