Professional Summary
A dedicated AI technician and machine learning researcher with extensive experience in deep learning, graph neural networks, and data science. Specializing in designing and implementing advanced machine learning models with strong theoretical foundations. Possesses 4+ years of hands-on experience in data science projects across manufacturing, financial, and retail domains. Expert in PyTorch, with proven ability to optimize algorithms and deliver scalable AI solutions.
Key Highlights
- Multidisciplinary expert with strong background in mathematics, computer science, and data science
- 4+ years of hands-on experience in machine learning projects across manufacturing and financial domains
- Proficient in designing and implementing ML/DL models with theoretical focus on Graph Neural Networks
- Expert in PyTorch for deep learning research and development
- Skilled in algorithm programming, optimization, and scalable AI system design
- Published researcher with multiple papers in machine learning and AI conferences
Professional Experience
Lecturer in Computer Science and Engineering
Faculty of Business Administration, Southeast Asia University
June 2025 - Present
- Teach Computer Science courses including Discrete Mathematics, Data Structures and Algorithms, and Programming Language for IT programs
- Develop curriculum and course materials for advanced computer science topics
- Mentor students in research projects and technical skill development
Machine Learning Consultant
Fusion Solution
July 2025 - November 2025
- Provided expert consultation on machine learning project architectures and implementations
- Designed ML solutions for business problems across various industries
- Conducted technical assessments and feasibility studies for AI initiatives
Data and AI Engineer
Fusion Solution Co., Ltd.
September 2024 - May 2025
- Performed data engineering on Microsoft Fabric using PySpark for on-cloud data processing
- Designed and developed end-to-end machine learning models for predictive retail data analysis
- Conducted training sessions on machine learning development using Azure ML Studio for clients
- Built scalable ETL pipelines migrating on-premise databases to cloud infrastructure
Data Science and Analytics Mentor
We-Stride Institute of Technology
October 2024 - Present
- Provide consultation to students in Bootcamp program and Master's Degree in Computer Science
- Teach mathematics and Python programming for data science applications
- Guide students through real-world data science projects and case studies
Intern Researcher
Japan Advanced Institute of Science and Technology (JAIST)
June 2024 - August 2024
- Researched explainability of artificial intelligence systems
- Studied and presented on current data science and AI tools: Streamlit and LangChain
- Collaborated with international research team on AI interpretability projects
Research Assistant and Assistant Data Scientist
I3-Lab, Faculty of ICT, Mahidol University (Western Digital Project)
August 2022 - December 2023
- Worked on data science projects in manufacturing for Western Digital
- Researched and implemented weak supervision techniques to improve prediction accuracy in uncertainty scenarios
- Developed multi-stage HDD breakdown prediction models using machine learning
Data Analyst
KPMG Phoomchai Audit, Ltd.
October 2020 - March 2021
- Prepared dashboards using Power BI from clients' data for business insights
- Applied analytics to find business insights and audit insights from big data
- Implemented Python optimization algorithms reducing audit report processing time from 5-10 minutes to 1-2 seconds per job
Education
Ph.D. in Computer Science
Faculty of ICT, Mahidol University
August 2021 - Present
Research Focus: Machine learning and deep learning techniques in data science tasks
Coursework: Computational Theory, Design and Analysis of Algorithms, Natural Language Processing, Deep Learning, Graph Neural Networks
Coursework: Computational Theory, Design and Analysis of Algorithms, Natural Language Processing, Deep Learning, Graph Neural Networks
M.Sc. in Mathematics
Department of Mathematics and Computer Science, Chulalongkorn University
August 2017 - January 2021
Research Focus: Application of mathematical logic on structures in mathematics: o-minimality and its generalization
Thesis: Smooth Approximations of Continuous Functions Definable in D-minimal Structures
Thesis: Smooth Approximations of Continuous Functions Definable in D-minimal Structures
B.Sc. in Mathematics
Department of Mathematics and Computer Science, Chulalongkorn University
May 2012 - June 2016
Focus: Fundamental concepts of mathematics including pure math and applied math, with interest in properties of algebraic structures
Senior Project: Some Properties of 2-absorbing RΓ-submodules of RΓ-modules
Senior Project: Some Properties of 2-absorbing RΓ-submodules of RΓ-modules
Technical Skills
Programming Languages
AI/ML Frameworks
Data Engineering & Analytics
NLP & AI Tools
Cloud & DevOps
Specialized Skills
Selected Publications & Research
Click Through Rate Prediction on GNNs
Conference: MLMI 2025 (In Proceedings)
From Features to Graphs: Exploring Graph Structures and Pairwise Interactions via GNNs
Preprint: arXiv (Submitted)
Conscious Bias in Thailand Job Posting
Journal: SAU Journal of Science & Technology Vol. 10 No. 2 (2024)
Generalized Lojasiewicz Inequality in Expansions of the Real Field
Conference: Annual Pure and Applied Mathematics Conference 2020
Notable Projects
CTR Prediction using Graph Neural Networks
Developed novel GNN architecture for click-through rate prediction incorporating advanced feature selection and bilinear interaction mechanisms. Achieved near state-of-the-art results surpassing traditional deep learning models.
Technologies: PyTorch Geometric, Python, Graph Neural Networks
Technologies: PyTorch Geometric, Python, Graph Neural Networks
Order Recommendation and Full Truck Load Optimization
Developed a machine learning model for recommendation of orders including item to suggest and amount for particular agents. As well, optimization model for full truck load delivery to maximize the capability of transportation.
Technologies: Python, Machine Learning, Azure ML Studio, Optimization
Technologies: Python, Machine Learning, Azure ML Studio, Optimization
Web Application for Submitting Machine Learning Jobs
Developed a user-friendly Streamlit-based application integrated with Celery for job management.
Technologies: Python, Streamlit, Celery
Technologies: Python, Streamlit, Celery
Data Platform on Microsoft Fabric
Developed ETL processes migrating on-premise databases to Microsoft Fabric for retail chain of petroleum and energy business. Built scalable data pipelines using PySpark for real-time analytics.
Technologies: PySpark, Microsoft Fabric, SQL, Power BI
Technologies: PySpark, Microsoft Fabric, SQL, Power BI
Stepwise Interest Rate Portfolio Optimization
Designed a portfolio optimization model to maximize annual interest profits through stepwise rates.
Technologies: Python, Pyomo, Streamlit
Technologies: Python, Pyomo, Streamlit
Weak Supervision for HDD Breakdown Prediction
Investigated application of weak supervision techniques to improve prediction accuracy in uncertainty scenarios for Western Digital manufacturing data. Developed multi-stage prediction models.
Technologies: Python, Machine Learning, Data Science
Technologies: Python, Machine Learning, Data Science
Automated Financial Balance Sheet Rounding
Implemented Python optimization algorithms reducing audit report processing time from 5-10 minutes to 1-2 seconds per job at KPMG.
Technologies: Python, Integer Linear Programming, Optimization
Technologies: Python, Integer Linear Programming, Optimization
Training & Workshops Conducted
- AI Automation Training - การไฟฟ้านครหลวง (September 2025)
- Basic AI Prompt Engineering - Bangkok Glass Co., Ltd. (July 2025)
- Surviving and Thriving in the Age of AI - WeStride Institute (May 2025)
- Ready, Set, Data!: เตรียมตัวให้พร้อมสู่สายงาน Data Analyst - WeStride Institute (February 2025)
- Machine Learning in Azure Machine Learning Studio - DoHome (Corporate Training, 2024-2025)
- Machine Learning for Data Analytics of Cement and Mortar Demand Prediction - Siam City Cement (INSEE) (Corporate Training, 2024-2025)
- Basic Low-Code and No-Code Machine Learning in Azure ML Studio - DoHome (Corporate Training, 2024-2025)
- AI: Invited Speaker - Faculty of ICT, Mahidol University (September 2024)
- International Mathematics Competition Training - For M.1-M.3 students, Multiple sessions (2024)
- AI: Data Analytics - สำนักงานทรัพยากรน้ำแห่งชาติ (National Water Resources Office) (April 2023)
- Mathematics and Python for Data Science - We-Stride Institute (2024-Present, Ongoing)