Education
M.S. in Computer Science (Artificial Intelligence)
University of Southern California, USA
Artificial Intelligence Specialization
August 2021 - Present
Bachelor of Engineering
Chulalongkorn University, Thailand
Cumulative GPA: 3.97 / 4.00
Course highlights: Pattern Recognition, Natural Language Processing, Automated Essay Scoring, Artificial Intelligence, Software Engineering
July 2015 - July 2019
Work Experience
Research Assistant
Chulalongkorn University, Thailand
- Part of the speech and NLP lab under supervision by Dr. Ekapol Chuangsuwanich to develop exciting solutions for education and technology field.
- Developed a speech transcription system for phone-in customer service center using Kaldi framework for KBTG.
- Developed a prototype of automatic phone assistant speech recognition for FWD Thailand.
- Conducted research on the robustness (explainability) of popular deep learning models on automated essay scoring task (See Publication).
January 2020 - July 2021
Teaching Assistant
Chulalongkorn University, Thailand
- Designed a Google Colab teaching materials for the 3-month workshop series as part of the Chula MOOC Achieve's Data Science Pathway e-learning course.
- Constructed in-class exercises focus on introduction to maching learning for the special training session at Bank of Thailand
- Implemented a simple Conditional Random Fields (CRF) model for named-entity recognition (NER) workshop session at Exxon Mobil Thailand.
August 2019 - January 2020
Computer Science Teacher
Satit Pattana School, Thailand
Designed the course syllabus and constructed teaching materials focus on basic Python programming for Computer Science class for high school students during Fall 2020 semester.
August 2020 - December 2020
Research Intern
Tokyo University of Technology, Japan
Two-month summer research internship under supervision by Prof. Takuya Terasawa to develop a machine learning model to rank similar questions in online forums using Doc2Vec.
May 2018 - July 2018
Publication
A Comparative Study of Pretrained Language Models for Automated Essay Scoring with Adversarial Inputs
Proceedings of 2020 IEEE REGION 10 CONFERENCE
(TENCON), Osaka, Japan
This study compares the performance of three AES models which utilize different text embedding methods, namely Global Vectors for Word Representation (GloVe), Embeddings from Language Models (ELMo), and Bidirectional Encoder Representations from Transformers (BERT). We used two evaluation metrics: Quadratic Weighted Kappa (QWK) and a novel robustness, which quantifies the models' ability to detect adversarial essays created by modifying normal essays to cause them to be less coherent. (Link)
November 2020
Contest Awards
1st Place, National Software Contest (NSC)
Thai handwritten recognition with multi-channel convolutional networks to extract features from each components in Thai scripting.
The model was implemented on Tensorflow framework.
Our result has Character Error Rate (CER) of about 30% from roughly 3000 sentences.
August 2020
2nd Place, Homedottech Hackathon
Real Estates price prediction model on real-world features such as room size, bedrooms, bathrooms, images, and location. The domain was residence houses and apartments.
The competition was held by Home dot Tech.
We employed deep neural networks with semi-supervised training to learn both regression and classification tasks.
August 2019
Honors
Master's degree scholarship
Bank of Thailand
Full scholarship to study Master of Science in Computer Science (Artificial Intelligence) at University of Southern California.
November 2019
Gold Medal Award
Chulalongkorn University, Thailand
An award granted to the student with highest cumulative GPA.
July 2019
Academic Excellence Medal
The Engineering Institute of Thailand Under H.M.The King’s Patronage
An award granted to the student who demonstrates exceptional academic performance during their undergraduate study.
December 2018