Enthusiastic computer science student in speech and language processing, with a passion for creating tools that bridge technology and education. Alongside my research, I've spent years teaching English, combining technical innovation with teaching experience to design solutions that make language learning more effective and engaging.
University of Sheffield, School of Computer Science, Faculty of Engineering
Sheffield, United Kingdom
Chulalongkorn University International School of Engineering
Bangkok, Thailand
GPA: 3.01
Interpal English School, Bangkok
Monkey Monkey Tutoring School, Bangkok
Valaya Alongkorn Rajabhat University, Bangkok
Automotive Design and Manufacturing Engineering
Chulalongkorn University Racing Electric Club
Python • NLP • LLMs • XLM-RoBERTa • Typhoon Models
Dissertation project developing an AI system that helps Thai learners understand English grammar through context-aware explanations. Integrates three specialized models achieving 94.7% tense classification accuracy with 4.33/5 user satisfaction.
Java • Anylogic • Simulation • Optimization
Developed a traffic light control system simulation for Bangkok intersections using Anylogic. Optimized traffic flow patterns through dynamic timing algorithms and intersection modeling.
Python • Linear Regression • Statistical Analysis
Investigated correlations between drinking water pH levels and various weather factors using stepwise linear regression analysis. Identified key environmental predictors of water quality variations.
Exploring the intersection of artificial intelligence, language learning, and educational technology through research and development.
Bridging the gap between Thai and English through context-aware AI explanations. A dissertation project that helps Thai learners understand English grammar intricacies.
Deep dive into the three-layer architecture that powers Thaislate: translation, classification, and explanation generation using state-of-the-art language models.
How I fine-tuned XLM-RoBERTa to achieve 94.7% accuracy on 24-category English tense classification, specifically tailored for Thai learners' common mistakes.
Designing an intuitive interface that makes complex grammar explanations accessible. From wireframes to user testing with 38 Thai learners.
Analyzing user satisfaction scores, system performance metrics, and the surprising disconnect between technical accuracy and user experience.
Bangkok, Thailand
Part-time introvert, full-time overthinker who somehow ended up teaching machines to teach humans English grammar (yes, the irony isn't lost on me). When I'm not debugging why my AI thinks 'I will had been going' is a valid tense, you'll find me at the go-kart track pretending I'm Alex Albon (fellow Thai representing!), getting roasted by friends for being way too competitive in rental karts while wearing my 'totally necessary' racing gloves, shoes, and helmet that cost more than my monthly GPU budget. I oscillate between wanting to discuss neural networks at parties and hiding in the corner with my headphones on, soundtrack depending on whether it's a race weekend or deadline season. Currently training AI to be a better language teacher than me – which is either brilliant innovation or elaborate career suicide, jury's still out. Will passionately argue that go-karting is the purest form of motorsport while simultaneously explaining why my lap times would definitely improve with just one more piece of professional gear. Send help (or better GPU resources... or honestly, just sponsor my karting dreams at this point).