The Computer Engineering Department, Faculty of Engineering, King Mongkut’s University of Technology Thonburi (KMUTT), celebrates the achievements of its students who participated in the Super AI Engineer Program this year.
More than a competition, the Super AI Engineer Program provides participants with opportunities to tackle real-world challenges from industry, develop practical AI solutions under time constraints, and collaborate with participants from across Thailand. This year, 14 CPE students took part in the program, working on diverse projects spanning industrial applications, healthcare, language technologies, and research.
Super AI Engineer Silver Medal
- Kamonphop Wittayarath — RTLForge: Production AI Agent for RTL Engineering
- Nontakrit Phanpanich — MUKUJO: Multilingual Understanding Kiosk for Unfabricated Journey Orientation
Super AI Engineer Bronze Medal
- Thanaboon Thikaew — AI Skills for Automated Document Auditing and Database Ingestion
- Punyachaya Chancharoen — Duck Vision: AI-Powered Duck Wetness and Mudness Detection
- Phurin Chinphuat — eDNA: Large Language Model-based Maintenance Work Order Categorization with Weibull Survival Analysis in Maintenance Reliability
- Adisorn Parama — AutoRepoFlow: Evidence-Grounded Review for AI-Generated Code
- Nazumi Takagi — SleepMetS: AI-Based Metabolic Risk Phenotyping from Portable Sleep Test Signals
AI Engineer
- Wisit Suwannao — CRUiT: Career Recommendation & Upskilling Intelligence for Thai Vocational Pathways
AI Developer
- Pawarisa Thongchuea — Estimating Fish Weight from a Camera
- Lapawat Laosut — Intelligent System for Predicting Factory Permit Application Risks and Analyzing the Ministry of Industry’s Industrial Business Registration Database
- Panjaphong Phubanchuen — แอบมองเธออยู่นะจ๊ะ: Realtime Fraud Detection on CCTV in Retail (AXONS)
- Kittithat Somarakphan — Nan Verify: Agentic AI-Assisted Business Verification for Nan Connect
- Phonkris Bao-wan — Environmental Warning Dashboard – Air Quality Forecasting and Early Warning System
- Phattharadon Thanaprasitphatthana — A Multimodal Retrieval-Augmented Generation Framework for Statistical Education and Stata Workflow Guidance
- Songphon Kaewkaenkhun — Continue Pre-Training LLM
AI Designer
- Kanthir Duangmanee — Broilers Target Weight Forecasting and Causal Inference (AXONS)
The Computer Engineering Department congratulates all participating students on their dedication and achievements. Their experiences reflect the value of applying AI knowledge to practical challenges and developing solutions across a wide range of industries and research areas.