✨ 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

• financial forecasting (RNN-based GANs) • satellite image classification (cnn) • spacecraft landing (mlp) • 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:

• machine translation (transformer) • AI-powered chatbot (PickSmart)

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

💻 Software engineer (backend) implements microservices and API integration for robust and scalable software.

🔍 Quality analyst conducts manual and automated testing to meet high-quality standard software. (Cypress, Appium)

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

🎓 Master's degree in AI with Distinction, University of Essex.

Dissertation: Sentiment-Enhanced GAN for Stock Price Forecasting (SeGAN)

🎓 Bachelor's degree in Computer science, Mahidol University.

Thesis: Empirical Investigation and Supporting program for Mandibular Fracture Classification and Localization Algorithm on X-ray images of Skull (mandy-ml, mandy-app, GradCAM)

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.

My research interest focuses on enhancing cognitive function in the current machine intelligence system. I am interested in researching approaches to tackle reasoning challenges in current LLM and multimodal, 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 for learning new situations.

I have developed a research proposal outlining my idea. Please feel free to contact me at [email protected] for a discussion.

A collection of algorithms implemented by Java (algoj), Scala (algos), and Python (algopy) for practicing.