Guntitat Sawadwuthikul

Applied Scientist at Gauss Labs
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Contact Information
us****@****om
(386) 825-5501
Location
Yeoksam-dong, Seoul, South Korea, KR

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Credentials

  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
    DeepLearning.AI
    Feb, 2022
    - Nov, 2024
  • Neural Networks and Deep Learning
    DeepLearning.AI
    Feb, 2022
    - Nov, 2024
  • Structuring Machine Learning Projects
    DeepLearning.AI
    Feb, 2022
    - Nov, 2024
  • Data Science Foundations Specialization
    Coursera
    Aug, 2021
    - Nov, 2024
  • Data Science Methodology
    Coursera
    Aug, 2021
    - Nov, 2024
  • Databases and SQL for Data Science with Python
    Coursera
    Aug, 2021
    - Nov, 2024
  • Tools for Data Science
    Coursera
    Aug, 2021
    - Nov, 2024
  • What is Data Science?
    Coursera
    Aug, 2021
    - Nov, 2024
  • Functional Program Design in Scala
    Coursera
    Feb, 2021
    - Nov, 2024
  • Functional Programming Principles in Scala
    Coursera
    Jan, 2021
    - Nov, 2024

Experience

    • United States
    • Software Development
    • 1 - 100 Employee
    • Applied Scientist
      • Mar 2023 - Present

      Work with the MLDS team to optimize virtual metrology in semiconductor manufacturing. Work with the MLDS team to optimize virtual metrology in semiconductor manufacturing.

    • Thailand
    • Research Services
    • 1 - 100 Employee
    • Research Assistant
      • Mar 2022 - Present

      Apply deep learning to extract biosignals and events (e.g. respiratory rate, heart rate, and sleep apnea) and predict sleep deprivation severity from PPG signals. (Supervisor: Prof. Theerawit Wilaiprasitporn) Apply deep learning to extract biosignals and events (e.g. respiratory rate, heart rate, and sleep apnea) and predict sleep deprivation severity from PPG signals. (Supervisor: Prof. Theerawit Wilaiprasitporn)

    • Thailand
    • Banking
    • 700 & Above Employee
    • Data Analyst Intern
      • Jun 2022 - Aug 2022

      Join the Credit Risk Data Analytics team to improve the reject inference method to manage loan applications. The decision framework is currently deployed to the bank's decision engine. - Capture the model's bias toward class density and propose a solution by injecting class weights. - Repurpose a state-of-the-art research proposal that employs semi-supervised learning in the context of tabular data trained on LightGBM, doubling the F1 score compared to the previous implementation. - Conduct a proof-of-concept of introducing deep learning to tackle reject inference which later lacks explainability. - Document a tutorial of valuable tools that can be used to track ML experiments such as TensorBoard, DataBricks widgets, and custom loss in LGBM models. Show less

    • Government Administration
    • 100 - 200 Employee
    • Research Intern
      • Dec 2021 - Aug 2022

      Research and engineer experiments for climate downscaling super-resolution tasks using a deep residual neural network. The team's work has been published in SIGKDD 2022. (Supervisor: Prof. Meeyoung Cha) Research and engineer experiments for climate downscaling super-resolution tasks using a deep residual neural network. The team's work has been published in SIGKDD 2022. (Supervisor: Prof. Meeyoung Cha)

    • Thailand
    • Industrial Automation
    • 100 - 200 Employee
    • Robotics Engineer Intern
      • Jan 2022 - Feb 2022

      Joined ROVULA (https://arv.co.th/rovula/) business unit which develops an end-to-end subsea inspection solution as a robotics engineer intern. - Design and integrate sensors and acoustic devices for bathymetric survey equipment (XGateway) - Create an API for contour map analysis and visualization between GS4, Surfer, and Google Earth - Deploy a data labelling pipeline for object detection tasks using Label Studio Joined ROVULA (https://arv.co.th/rovula/) business unit which develops an end-to-end subsea inspection solution as a robotics engineer intern. - Design and integrate sensors and acoustic devices for bathymetric survey equipment (XGateway) - Create an API for contour map analysis and visualization between GS4, Surfer, and Google Earth - Deploy a data labelling pipeline for object detection tasks using Label Studio

    • Thailand
    • Software Development
    • 700 & Above Employee
    • Back End Developer
      • Jun 2021 - Aug 2021

      Joined True Digital Group via True Academy Project.​ Worked as a back-end developer intern under the CMS team adopting NestJS and GraphQL to integrate with the existing infrastructure and increase the efficiency of data query. Joined True Digital Group via True Academy Project.​ Worked as a back-end developer intern under the CMS team adopting NestJS and GraphQL to integrate with the existing infrastructure and increase the efficiency of data query.

    • Thailand
    • Research Services
    • 1 - 100 Employee
    • Research Intern
      • Jan 2021 - Mar 2021

      Develop a cooperative multi-agent reinforcement learning framework specialized for Overcooked game. Develop a cooperative multi-agent reinforcement learning framework specialized for Overcooked game.

    • Thailand
    • Research Services
    • 1 - 100 Employee
    • Student Intern
      • Apr 2019 - Jun 2019

      2-month student internship program between Kamnoetvidya Science Academy (KVIS) and VISTEC. In responsible for SCADS lab in data visualization and computer science fields, having Dr. Nat Dilokthanakul as the advisor. Proposed a communication framework between human and waiter robot that helps the robot navigate to the customer in dynamic setting using various techniques in machine learning, which aims to reduce the number of interactions between the human and the robot to its possible minimum. Show less

Education

  • Korea Advanced Institute of Science and Technology
    Bachelor of Science - BS, Computer Science and Electrical Engineering
    2019 - 2023
  • Kamnoetvidya Science Academy
    High School, Mathematics and Science
    2016 - 2018

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