Innovative Data Scientist with a strong background in AI, focusing on Large Language Models (LLM) and Natural Language Processing (NLP). Experienced in leveraging both on-premises and cloud computing for cutting-edge AI solutions.

• Gold Medal in Super AI Engineer Season 2
• Winner of Bangkok AI Hack 2023
• Published research in NLP, nuclear engineering, and optimization algorithms

• Languages: Python (Advanced), SQL (Advanced), Bash (Advanced), JavaScript (Basic)
• Frameworks: PyTorch, Hugging Face, GeoPandas, OpenCV, AWS, MLflow, Docker, Conda, PyThaiNLP
• Areas of Expertise: LLM, NLP, Computer Vision (2D and 3D), Geospatial Deep Learning

1. Multi-Label Classification for Low-Resource Issue Tickets with BERT - ICCI 2024 (March 2024)

   • Applied Pre-Trained BERT for Low-Resource dataset text multi-label classification.

2. Transuranic Waste Incineration in Next-Gen Boiling Water Reactor Using OpenMC - PHYSOR 2022 (May 2022)

   • Onsite International Conference on Physics of Reactors - organized by American Nuclear Society at USA Pittsburgh.
   • Designed and simulated Resource-Renewable Boiling Water Reactor via Monte Carlo neutron transport.

3. Gaussian Quantum-Behaved Particle Swarm with Learning Automata-Adaptive Attractor and Local Search - ECTI-CON 2022 (May 2022)

   • Visualized optimization benchmark data and finding insight from different algorithms.

• Advanced techniques in LLM fine-tuning
• Cutting-edge approaches in Vision Language Models
• Efficient methods for Small Language Models

• Open-source NLP projects
• Research in low-resource language processing
• Innovative applications of LLMs in various domains

• Email: [email protected]
• Location: Bangkok, Thailand

⚡ Fun fact: I've participated in numerous AI hackathons and even won a competition to design an autonomous anti-drone system!