EDUCATION

D.Sc. in Engineering Design and Production, Aalto University, School of Engineering, Finland (Full funding)

Former name: Mechanical Engineering, Helsinki University of Technology

M.Sc. in Computer Science, Rangsit University, Thailand

B.Sc. in Computer Science, Huachiew Chalermprakiet University, Thailand

CERTIFICATE

[1] Python 3 Programming Specialization, University of Michigan

[2] Python for Everybody Specialization, University of Michigan

[3] Crash Course on Python, Google

[4] A Crash Course in Data Science, Johns Hopkins University

[5] Convolutional Neural Networks in TensorFlow, Deeplearning.ai

[6] Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning, Deeplearning.ai

[7] Python for Cybersecurity Specialization , INFOSEC

• Introduction to Python for Cybersecurity

• Execution, persistence, privilege escalation and evasion

• Credential Access, discovery, lateral movement & collection

• Python for Command-and-control, Exfiltration and Impact

• Python for Active Defense

[8] Robotic Process Automation (RPA) Specialization, UiPath

• RPA Basics and Introduction to UiPath

• Data Manipulation in RPA

• UI Automation and Selectors

• Control Flow in RPA

• Automation Techniques in RPA

• UiPath Orchestrator and Capstone Projects

[9] Introduction to Generative AI Learning Path Specialization, Google Cloud

• Introduction to Generative AI

• Introduction to Large Language Models

• Introduction to Responsible AI

• Responsible AI: Applying AI Principles with Google Cloud

[10] AI Foundations for Everyone Specialization

• Introduction to Artificial Intelligence (AI)

• Generative AI: Introduction and Applications

• Generative AI: Prompt Engineering Basics

• Building AI Powered Chatbots Without Programming

[11] IBM AI Foundations for Business Specialization, IBM

• Introduction to Artificial Intelligence (AI)

• What is Data Science?

• The AI Ladder: A Framework for Deploying AI in your Enterprise

[12] Generative AI Fundamentals Specialization, IBM

• Generative AI: Foundation Models and Platforms

• Generative AI: Introduction and Applications

• Generative AI: Prompt Engineering Basics

• Generative AI: Impact, Considerations, and Ethical Issues

• Generative AI: Business Transformation and Career Growth

[13] Generative AI for Cybersecurity Professionals Specialization, IBM

• Generative AI: Introduction and Applications

• Generative AI: Prompt Engineering Basics

• Generative AI: Boost Your Cybersecurity Career

[14] Generative AI for Data Analysts Specialization, IBM

• Generative AI: Introduction and Applications

• Generative AI: Prompt Engineering Basics

• Generative AI: Enhance your Data Analytics Career

[15] Generative AI for Data Scientists Specialization, IBM

• Generative AI: Introduction and Applications

• Generative AI: Prompt Engineering Basics

• Generative AI: Elevate Your Data Science Career

[16] Generative AI for Software Developers Specialization, IBM

• Generative AI: Introduction and Applications

• Generative AI: Prompt Engineering Basics

• Generative AI: Elevate your Software Development Career

[17] Generative AI for Data Engineers, IBM

• Generative AI: Introduction and Applications

• Generative AI: Prompt Engineering Basics

• Generative AI: Elevate your Data Engineering Career

[18] Generative AI for Human Resources (HR) Professionals, IBM

• Generative AI: Introduction and Applications

• Generative AI: Prompt Engineering Basics

• Generative AI: Advance Your Human Resources (HR) Career

[19] Introduction to Data Science Specialization, IBM

• What is Data Science?

• Tools for Data Science

• Data Science Methodology

• Databases and SQL for Data Science with Python

[20] AI For Everyone, Deeplearning.ai

[21] AI for Everyone: Master the Basics, IBM

[22] Machine Learning for All, University of London 

[23] Deep Learning Fundamentals with Keras, IBM

[24] Machine Learning with Python, IBM

[25] Introduction to Data Science, Microsoft

[26] Python for Data Science and AI, IBM

[27] Data Analysis with Python, IBM

[28] Python 101 for Data Science, IBM

[29] Python Project for Data Science, IBM

[30] Data Visualization with Python, IBM

[31] Databases and SQL for Data Science with Python, IBM

[32] Blockchain Basics, University at Buffalo & The State University of New York

[33] Introduction to Data Engineering, IBM

[34] Introduction to Data Analytics, IBM

[35] Linear Algebra for Machine Learning and Data Science, Deeplearning.ai

[36] Introduction to Software Engineering, IBM

[37] Data Scientist Career Guide and Interview Preparation, IBM

[38] Software Developer Career Guide and Interview Preparation, IBM

[39] Information Technology (IT) Fundamentals for Everyone, IBM

[40] Generative AI Essentials: Overview and Impact, University of Michigan

[41] Generative AI for Executives and Business Leaders, IBM

[42] Generative AI and LLMs: Architecture and Data Preparation, IBM

[43] Generative AI for Leaders, Vanderbilt University

[44] Prompt Engineering for ChatGPT, Vanderbilt University

Coursera Project Network

[1] Image Classification with CNNs using Keras

[2] Classification with Transfer Learning in Keras

[3] Optimize TensorFlow Models For Deployment with TensorRT

[4] Perform Sentiment Analysis with scikit-learn

[5] Exploratory Data Analysis With Python and Pandas

[6] Linear Regression with Python

[7] Predict Employee Turnover with scikit-learn

FORMER WORK EXPERIENCE (Selected)

[1] Web Application Development

This work was to design and develop the responsive websites for Ministry of Labour  

Position: Project Manager, 9Expert Training Ltd.

Results: 102 Responsive Websites

[2] Sentiment Analysis in Tourism Industry 

The objective of this project is researching and developing machine learning technique for sentiment analysis in tourism industry from social media sources. Tourist attractions in Ubon Ratchathani province is used as a case study. 

Position: Project Advisor

Funding: National Research Council of Thailand, Annual Government Statement of Expenditure (2018).

[3] Business Process Automation and Enterprise Content Management 

The focus of this work was to transform the organizations into a digital enterprise, which can be divided into 5 steps: (1) digitize all paper documents for archiving and retrieval (2) organize documents for management in central repository (3) automate business processes for increasing operational efficiency (4) streamline business processes in order to gain business insight (5) transform business processes using analytics to align processes with business goals.

Position: Project Manager, DIS Computer (Thailand) Co., Ltd.

Results: All clients can be listed as follows:

• United Nations Office for Project Services (UNOPS), United Nations (UN)

• COTCO Metal Works Co, Ltd.

• M-Tech Audio Co., Ltd.

• Chin Seng Huat Auto Parts Co., Ltd.

• National Statistical Office of Thailand

• BMW Leasing (Thailand) Co., Ltd.

[4] Project Progress Monitoring System (PPMS)

The objective of this project was to develop a Project Progress Monitoring System (PPMS) in order to monitor the work progress and financial of the Metropolitan Rapid Transit (MRT) Green line project (Mo Chit - Saphan Mai - Khu Khot section). This system can report the project progress in high level and visualize the information in different forms (e.g. Bar chart, Gantt chart, and Critical path), to support an executive manager for a decision-making effectively.

Position: Business Analyst, A2P Solution Co., Ltd.

Result: Web-based application

[5] Engineering Design

This work focuses on design and develop a comprehensive framework based on Model-Based Systems Engineering (MBSE) perspective in order to support engineering designer for specifying, analyzing, and designing a design concept of the system models during early stage of design process.

Position: Researcher, Aalto University

Results: Publications and Software application

Funding: This project was fully funded by United States Department of Defense (U.S. DoD).  The contract number is N: N61340-14-C-1015.

[6] Engineering Tool to Optimize the Modularity in Products

This work was to develop software using a Dependency Structure Matrix (DSM) and Graph Theory to decompose a product into modules, and making it more design-efficient using heuristic search based on Genetic Algorithm and the Minimum Description Length (MDL) principle.

Position: Researcher, Strategic Software Solutions Co., Ltd.

Result: Software (This software is used as one of the examples in a textbook, Design Structure Matrix Methods and Application, The MIT Press, 2012)

[7] Real time Eye Gaze tracking using basic Webcam

This work was to design and to develop a real-time eye gaze tracking system using off-the-shelf web camera and digital image processing to measure the gaze point from the subject and then analyses of how subject interact with a product. Computer vision technique was used to detect face area, eye region, and eye features (e.g., iris center and the inner eye).

Position: Researcher, Strategic Software Solutions Co., Ltd

Result: Software (Prototype)

PERSONAL ACTIVITIES

-  Guitar, Piano, Computer Music, Travelling, Photograph, and Sports

Updated on 22 March 2025 by Dr. Sarayut Nonsiri