Guntitat Sawadwuthikul (Tau)
Applied Scientist at Gauss Labs. Recently, graduated from KAIST with a B.Sc. in Computer Science and Electrical Engineering. Interested in machine learning research and web development. During free time, I mostly play the guitar and watch DOTA2 streams.
Feel free to check out my CV which contains my contact information you might need.
News
- 2024/10: My first PR to scikit-learn has been merged!
- 2024/07: One paper published to IEEE Internet of Things Journal.
Applied Scientist
Gauss Labs- March 2023 - Ongoing
- Seoul, South Korea
Work with the MLDS team to optimize virtual metrology using machine learning in semiconductor manufacturing.
Reseach Assistant
Interfaces Lab, Vidyasirimedhi Institute of Science and Technology (VISTEC)- March 2022 - September 2023
- Remote
Apply deep learning to extract biosignals and events (e.g. respiratory rate and sleep apnea event) from PPG signals under supervision of Prof. Theerawit Wilaiprasitporn.
Data Analyst Intern
Siam Commercial Bank- June 2022 - August 2022
- Bangkok, Thailand
Join the Credit Risk Data Analytics team to improve the reject inference method applied to the bank's decision engine using semi-supervised learning.
Research Intern
IBS Data Science Group- January 2022 - August 2022
- Daejeon, South Korea
Climate downscaling with single-image superresolution technique to predict geospatial information under supervision of Prof. Meeyoung Cha.
Robotics Engineer Intern
AI and Robotic Ventures- January 2022 - February 2022
- Bangkok, Thailand
Integrate sensors and embedded devices to create an end-to-end hydrographic surveyor to be installed with the unmanned subsea vehicle.
Backend Developer Intern
True Digital Group- June 2021 - August 2021
- Work from Home
Qualify through True Academy Program as a backend developer at True Digital Group. Implement PoCs that increase the efficiency of API calls for content management of TrueID application.
Research Internship
BRAIN Lab, Vidyasirimedhi Institute of Science and Technology (VISTEC)- April 2019 - February 2021
- Rayong, Thailand
Research in the field of machine learning, human-computer interaction, reinforcement learning, and robotics under supervision of Prof. Poramate Manoonpong and Dr. Nat Dilokthanakul.
Director of Activity
The White Room Enterprise- August 2016 - June 2019
- Bangkok, Thailand
Work as a part of a social enterprise, organizing science camps, educational workshops and lectures. Both for charity work and profiting purposes.
B.Sc. (Hons) in Computer Science and Electrical Engineering
Korea Advanced Institute of Science and Technology (KAIST)
- August 2019 - February 2023
- Daejeon, South Korea
- Summa Cum Laude (GPA 4.06/4.3)
- Semiminor in Artificial Intelligence (a.k.a. Certificate in AI)
- Early Graduation
High School Diploma
Kamnoetvidya Science Academy (KVIS)
- May 2016 - February 2019
- Rayong, Thailand
- Elected as a valedictorian of the cohort
- Perfect cumulative GPA across all semesters (4.00/4.00)
- (2023) Dean's List (Fall 2022) of College of Engineering, KAIST (GPA 4.22/4.3)
- (2023) Outstanding Graduate (top 7%) of 2022 - 2023, KAIST
- (2023) Summa Cum Laude, KAIST
- (2022) KAIPlus Scholarship Award, KAIST
- (2022) Dean's List (Spring 2022) of College of Engineering, KAIST (GPA 4.24/4.3)
- (2021) Creativity Prize from Thailand Machine Learning for Chemistry Competition 2021 (TMLCC)
- (2021) Most Human-Centered Award from CS374 (Fall 2021) Design Project
- (2019) Valedictorian of the Cohort, Kamnoetvidya Science Academy
- (2018) Champion Team Award - American Regions Mathematics League Local Thailand 2018
- (2018) Special Diploma, XXVIII Sakharov Readings, Lyceum “Physical-Technical School”, Saint Petersburg, Russia
- (2018) Second Runner-Up Prize from 2nd KVIS Invitational Science Fair (KVIS-ISF), Rayong, Thailand
- (2018) Honorable Mention - International Mathematical Modeling Challenge 2018
- (2017) Student President, Kamnoetvidya Science Academy