Research Interests
Information Retrieval • Knowledge Graphs • Retrieval-Augmented Generation (RAG) • Large Language Models •
Knowledge Management • Semantic Search • Natural Language Processing • Machine Learning •
Statistical Modeling • Recommender Systems • Agricultural AI • Time-Series Analysis
Professional Summary
AI Researcher with a strong mathematical and statistical foundation, working at the intersection of knowledge
management, information retrieval, and generative AI. Currently pursuing a Ph.D. in Computer Science (Information Retrieval)
at Chulalongkorn University while maintaining dual research and applied roles at Fusion Solution. Designs knowledge-graph
retrieval frameworks, RAG pipelines, and agentic AI systems, and deploys production ML at scale (1M+ customers, 200+ products).
International education background (University of Glasgow, UK) with two Master's degrees in Statistics and Data Analytics.
Recipient of 10-year competitive government scholarship (DPST, 2014-2024). Silver Award Winner (Runner-up) and Thailand representative at ASEAN Digital
Awards 2026 for AI-driven agricultural disease classification research in Digital Innovation category.
Education
- Research Area: Information Retrieval
- Research Focus: Information extraction, information retrieval, AI-driven retrieval systems, query understanding,
semantic search, neural information retrieval
- Relevant Coursework: TBA
- Thesis: "Changepoint Detection for Net Electricity Demand Modelling in Great Britain"
- Thesis Available: theses.gla.ac.uk/85614/
- Research Summary: Developed and applied advanced statistical changepoint detection methods
to model net electricity demand patterns in Great Britain. Utilized time-series analysis, segmentation algorithms,
and predictive modeling to identify structural changes in energy consumption behavior. Contributed to energy
demand forecasting and infrastructure planning.
- Key Techniques: Bayesian changepoint detection, PELT algorithm, time-series decomposition,
regression modeling, cross-validation, model selection
- Dissertation: "Analysis of Course and Degree Results in a University Programme"
- Research Summary: Conducted comprehensive statistical analysis of student performance data
to identify patterns in academic outcomes. Applied machine learning techniques for predictive modeling of
student success. Provided actionable insights for educational program improvement.
- Key Techniques: Exploratory data analysis, regression analysis, classification models,
hypothesis testing, data visualization, statistical inference
- Relevant Coursework: Machine Learning, Statistical Modeling, Big Data Analytics,
Data Mining, Business Intelligence, Data Visualization, Programming for Data Analysis
- Status: Completed all required graduate-level coursework (equivalent to half the M.Sc.
degree requirements). Withdrew in good standing prior to thesis phase to accept university transfer for
study abroad opportunity at University of Glasgow
- Coursework: Advanced Abstract Algebra, Real Analysis, Complex Analysis, Functional Analysis,
Topology, Advanced Linear Algebra, Mathematical Statistics
- Achievement: High academic standing with strong performance across all mathematics courses
- Undergraduate Research Project: "Some Properties of Prime-Cubed Cyclotomic Cosets in Cyclic Group ℤₘ"
- Project Summary: Pure mathematics research in abstract algebra and number theory,
investigating structural properties of cyclotomic cosets in cyclic groups under prime-cubed moduli.
Proved new theorems on coset cardinality and distribution patterns.
- Research Areas: Abstract Algebra, Number Theory, Cyclic Groups, Cyclotomic Polynomials
- Awards:
- Best Undergraduate Project Presentation Award in Mathematics, DPST Conference (2020)
- DPST Short Research Award, University of California, San Diego (2019)
- Highest GPA Awards (All years: 1st, 2nd, 3rd, 4th year)
- Teaching Experience: Precalculus Tutor for First-Year Science Students (2017–2019)
Professional Experience
- Conduct advanced research in AI techniques for R&D team with focus on information retrieval,
recommendation systems, and agricultural AI applications
- Lead research collaboration with Kasetsart University and National Corn and Sorghum Research Center
Thailand on disease classification systems for agricultural crops
- Develop and implement state-of-the-art deep learning algorithms for production deployment in
retail and agricultural domains
- Research neural information retrieval techniques and query understanding systems for e-commerce applications
- Publish research findings and present at academic conferences and industry forums
- Design and deploy end-to-end machine learning systems for retail business optimization across Thailand
- Customer Segmentation System: Built production clustering pipeline serving 1M+ customers
using K-means, hierarchical clustering, and DBSCAN algorithms. Implemented RFM analysis and behavioral
segmentation for targeted marketing campaigns
- Product Recommendation Engine: Developed collaborative filtering and deep learning-based
recommender system covering 200+ products. Utilized matrix factorization, association rule mining, and
neural collaborative filtering techniques
- Search and Retrieval System: Architected NLP-based search engine with query preprocessing,
semantic understanding, and query routing capabilities for 300+ product catalog
- Demand Forecasting: Built time-series forecasting models for inventory optimization and
supply chain management across multiple regions
- Sentiment Analysis: Deployed sentiment classification models for customer feedback analysis
and brand monitoring
- Construct data pipelines using Azure ecosystem (Azure ML, Azure AI Studio, Microsoft Fabric), SQL databases,
and Python frameworks (pandas, PySpark, scikit-learn, TensorFlow, PyTorch)
- Collaborate with cross-functional teams to translate business requirements into technical ML solutions
Research Projects & Publications
- Recognition: Silver Award Winner (Runner-up) at ASEAN Digital Awards 2026 (Digital Innovation Category, Hanoi, Vietnam, January 15, 2026)
- Thailand Representative: Selected to represent Thailand for ASEAN region in Digital Innovation sector at ASEAN Digital Awards 2026
- Innovation: First-of-its-kind agricultural AI system integrated into messaging platforms (Line, WhatsApp, Facebook Messenger) requiring zero app downloads, democratizing access to advanced technology
- Technology: ResNet-based deep learning architecture with transfer learning, data augmentation, class balancing, and ensemble methods for robust disease classification
- Impact: Empowers farmers with real-time, scientifically validated disease diagnosis through familiar platforms, reducing crop loss and improving food security across Southeast Asia
- Validation: Multi-institutional research partnership with Thailand's leading agricultural research institutions ensuring scientific rigor and practical applicability
- Publication: M.Phil. Thesis available at theses.gla.ac.uk/85614/
- Research Objective: Apply advanced statistical changepoint detection methods to model structural
changes in net electricity demand patterns in Great Britain
- Methodology: Implemented Bayesian changepoint detection, PELT algorithm, and multiple changepoint
methods. Conducted time-series decomposition, trend analysis, and seasonal adjustment
- Results: Successfully identified significant changepoints in electricity demand corresponding
to policy changes, economic events, and technological adoption patterns
- Applications: Energy demand forecasting, grid infrastructure planning, policy impact assessment
- Publication: M.Sc. Dissertation: "Analysis of Course and Degree Results in a University Programme"
- Research Objective: Analyze student performance patterns and develop predictive models for
academic success to inform educational program design
- Methodology: Applied statistical analysis, regression modeling, classification algorithms
(logistic regression, decision trees, random forests), and data visualization techniques
- Results: Identified key predictors of student success and provided evidence-based recommendations
for program improvement
- Publication: Undergraduate Research Project: "Some Properties of Prime-Cubed Cyclotomic
Cosets in Cyclic Group ℤₘ"
- Award: Best Undergraduate Project Presentation Award, DPST Conference (2020)
- Research Objective: Investigate structural properties and cardinality patterns of cyclotomic
cosets in cyclic groups under prime-cubed moduli
- Methodology: Pure mathematics research using algebraic proof techniques, computational
verification, and pattern analysis
- Results: Proved new theorems on coset distribution and cardinality formulas for specific
classes of prime-cubed moduli
Technical Skills
Programming Languages
Python (Advanced)
R (Advanced)
SQL (Advanced)
C/C++ (Intermediate)
MATLAB (Intermediate)
Machine Learning & Deep Learning
TensorFlow
PyTorch
Keras
scikit-learn
XGBoost
LightGBM
Hugging Face Transformers
Data Science & Analytics
pandas
NumPy
SciPy
PySpark
statsmodels
Seaborn
Matplotlib
Plotly
ggplot2
Cloud & Data Platforms
Microsoft Azure
Azure Machine Learning
Azure AI Studio
Microsoft Fabric
Azure Databricks
Google Cloud Platform
Vertex AI
BigQuery
Specialized ML Domains
Natural Language Processing
Computer Vision
Information Retrieval
Recommender Systems
Time-Series Analysis
Statistical Modeling
Bayesian Methods
A/B Testing
Tools & Technologies
Git/GitHub
Docker
Jupyter
VS Code
Power BI
Tableau
MLflow
Apache Spark
Professional Certifications
Awards & Recognition
- Silver Award (Runner-up) – ASEAN Digital Awards 2026, Digital Innovation Category, Hanoi, Vietnam (January 15, 2026)
Recognized for Intelligent AgriDiagnose: AI-powered agricultural disease diagnosis system integrated into messaging platforms, empowering farmers across Southeast Asia
- Thailand Representative – ASEAN Digital Awards 2026, Digital Innovation Category (2026)
Selected to represent Thailand at regional level for AI-driven disease classification research
- Best Undergraduate Project Presentation Award in Mathematics – DPST National Conference (2020)
Recognized for research on cyclotomic cosets in abstract algebra
- DPST Short Research Award – University of California, San Diego (2019)
Competitive research fellowship for international research experience in mathematics
- Highest GPA Awards – All Undergraduate Years (2017, 2018, 2019, 2020)
Top academic performance awards for 1st, 2nd, 3rd, and 4th year of B.Sc. programme
- 10-Year Scholarship Funding – Development and Promotion of Science and Technology Talents Project (DPST) (2014–2024)
Fully funded competitive government scholarship covering secondary education through Master's degrees
Scholarships & Funding
- DPST Scholarship for Higher-Level Study Abroad (2020–2024)
Full funding for M.Sc. Data Analytics and M.Phil. Statistics at University of Glasgow, UK
Coverage: Tuition, living expenses, research costs, international travel
- Development and Promotion of Science and Technology Talents Project (DPST) Government Scholarship (2014–2024)
Prestigious 10-year competitive scholarship for science and technology education
Full funding from secondary school through Master's degrees
- Outstanding Student Scholarship, Silpakorn University (2016–2020)
Merit-based scholarship for exceptional academic performance during undergraduate studies
Teaching & Mentoring
- Provided individual and group tutoring sessions for first-year science students in precalculus topics
- Developed supplementary learning materials and practice problems to support student learning
- Assisted in exam preparation and concept clarification for foundational mathematics
- Received Teaching Assistant Certificate for outstanding service
Language Proficiency
Thai
Native Speaker
English
Professional Working Proficiency (TOEIC 965/990)
Completed two Master's degrees at University of Glasgow (UK) with full English-medium instruction.
Extensive experience in academic writing, research presentation, and technical communication in English.
Professional Development
- Active participation in AI/ML research community and industry conferences
- Continuous professional certification in cloud computing and machine learning (22 certifications acquired 2025-2026)
- Collaboration with academic institutions (Chulalongkorn University, Kasetsart University, University of Glasgow)
- Industry partnerships in retail analytics and agricultural AI applications
References
Academic and professional references available upon request
