Asian Institute of Technology, Pathumthani, Thailand
AI Center Unit
- Machine Learning Developer - Full time, current position
- Software Developer - Full time, after graduation
- Graduate Research Assistant - Internship
Machine Learning Developer
Computer Vision, Video Analytics, Multimodal AI, and Applied ML
AI Center Unit
Developing a Thai-language surveillance video search PoC using generative AI, on-premise LLM serving, vision-language multimodal models, fine-tuning, and vector database integration.
Developed research software and a web app with video analytics for vehicle black-smoke detection, screening, and multi-frame emissions analysis with ENTEC, NSTDA.
Developing tollway surveillance analytics for wrong-way driving, speeding, illegal parking, unexpected objects, 300-meter falling-object detection, and vehicle length classification.
Contributed to AI service development, model training, optimization, hosting tests, CI pipeline upgrades, automated tests, reporting, and service software patching.
Owned analytics-side face recognition covering detection, tracking, recognition integration, evaluation, and deployment support.
Developed wildfire component classification and segmentation from drone video, with forecasting support using empirical models and satellite data.
Improved action recognition post-processing to reduce fall detection false positives and evaluated system performance.
Built accident detection logic with tracked object-pair reasoning using Qwen 3.5, plus VLM-based scene detection for fire, violence, fall, smoke, and abnormal surveillance events.
MULTI-MODAL PERSON RETRIEVAL: BRIDGING TEXT, IMAGES, AND RE-IDENTIFICATION
Developing a Transformer-based multimodal system integrating text and image encoders for identity processing, cross-camera person re-identification, and text-based person search in one OpenAI CLIP-inspired model.
M.Sc. Data Science and Artificial Intelligence, GPA 3.7/4.0
Hisamatsu Prize recipient. Courses include machine learning, data modeling, business intelligence, programming for data science and AI, and natural language understanding.
Bachelor of Science, GPA 3.60/4.0
YSTP research scholar from NSTDA and full scholarship recipient from the university.
Core programming and web application concepts with C, Python, and SQLite.
Core concepts of artificial intelligence and machine learning.