I'm Charunthon Limseelo. I live in Thailand, where I build the future.
⛵ Hello everyone, my name is Charunthon Limseelo, and you can call me Boat. I'm a Computer Engineering (International Program) student at King Mongkut's University of Technology Thonburi.
🔊 Currently, I am a Gold Microsoft Learn Student Ambassador and Student Tech Lead in Thailand. My main role is to be a technology evangelist with blog contributor and public speaker, engaging people to learn about new innovations and technologies, particularly in the scope of Data + AI and their use cases. I work not only with Azure services but also with on-edge devices like small language models.
📚 I'm currently a researcher at NLP LAB under the Research Accelerated Program at KMUTT, working on humor context from small language models under the supervision of Asst. Prof. Dr. Natthanart Muansuwan.
🕰️ Previously, I worked as a Google Developer Student at GDSC KMUTT as an event speaker, presenting many cases based on Google Cloud Platform features. I left this role in 2022 to continue with MLSA.
📝 In my spare time, I work as a non-org-related tech blog contributor for organizations like KBTG, Spark Tech Thailand, Azure Community Thailand, CreatorsGarten, Microsoft, and BornToDev. I have also collaborated with public organizations like The Parliament in the first half of 2024.
🚀 My research interests focus on Small Language Models (SLM) for AI applications, including Meta's Llama and Microsoft's Phi, applying them to real-world scenarios and recommending suitable models for specific use cases. I also have extensive experience in Azure Cloud Computing, Data Engineering, and electrical analysis for sustainable energy applications.
Usage
Tools, technologies and gadgets I use on a daily basis but not limited to.
🛠️ Programming & Development:
• Languages: Python, JavaScript, TypeScript, C, C#, R, HTML5, CSS3
• Frameworks: React, Next.js, Node.js, .NET, TailwindCSS
• Databases: MongoDB, MySQL, Supabase, Firebase, Databricks
• Tools: Git, Docker, VS Code
☁️ Cloud & AI Platforms:
• Microsoft Azure: Azure Machine Learning, Azure Databricks, Azure AI Foundry
• AI/ML: Small Language Models (Phi, Llama, Qwen), Ollama, Streamlit, Microsoft Foundry Local, ONNX Runtime Optimization
• Data Engineering: ETL pipelines, Power BI, Microsoft Fabric, Data Lakes
🔬 Research & Analytics:
• Time Series Analysis: SARIMA modeling for temperature anomaly prediction
• NLP Research: Humor context analysis using small language models
• Electrical Analysis: Thermal imaging for electrical circuits, Proteus, Arduino, FLUKE
📱 Development Environment:
• OS: Windows with WSL, Linux
• IDE: VS Code, Jupyter Notebooks
• Version Control: Git, GitHub
• Package Managers: npm, pip, conda