Speaking & Workshops
Conference talks, workshops, and training sessions I've conducted on AI, Machine Learning, Cloud Computing, and Data Engineering.
Featured Talks & Workshops
Small Language Model: Develop Open-sourced AI to Sustainable Goals
Join us for an in-depth exploration of the transformative potential of open-sourced small language models (SLMs) in driving sustainable AI solutions. This session will delve into the unique advantages of SLMs, including their efficiency, accessibility, and reduced environmental footprint. Discover how SLMs can be effectively harnessed to address pressing global challenges such as climate change, resource management, and biodiversity conservation. We will explore real-world applications, discuss best practices for developing and deploying SLMs responsibly, and address ethical considerations to ensure their alignment with sustainability goals.
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Other Speaking Engagements
Langflow Quick Looking: It’s No-Code for Business, but why it’s so ‘good’ to Pythonistas
In this lightning talk will unveil how Langflow bridges the gap between business clarity and developer flexibility. Designed for Pythonistas and non-coders alike, Langflow offers a drag-and-drop interface to orchestrate AI workflows with agents, RAG pipelines, and custom components—all without locking you into specific LLMs or vector stores. I shares real-world proof-of-concept flows built for Thai enterprises like SCBX DataX and The Standard, and highlights how Langflow’s visual editor accelerates understanding, productivity, and communication across teams. Whether you're building with GPT-4o, integrating AstraDB, or crafting multi-agent systems, this session shows how Langflow empowers rapid prototyping and sustainable AI development. Perfect for developers, researchers, and business innovators looking to scale AI solutions with clarity and control.
Foundry Local: Another On-device Gen AI Deployment?
Discover the capabilities of Foundry Local and explore the latest advancements in on-device generative AI deployment. Learn how this high-performance local AI runtime stack enables seamless execution of models, tools, and agents on Windows and macOS devices. From optimizing performance across CPUs, NPUs, and GPUs to leveraging edge-optimized AI Foundry models, this session will showcase practical strategies for bringing AI-powered applications to life—without relying on cloud connectivity. Join us to dive into the future of local AI and its potential for real-world applications.
How to Run Reasoning Model Based on Sustainability
This talk will introduce the concept of reasoning models and their application in sustainability analysis. We'll discuss how these models can be used to evaluate environmental impacts, explore potential solutions, and inform decision-making. We'll examine key model types, data requirements, and the challenges and opportunities of using AI for a more sustainable future.
Perspective in the world of AI through Open-Source Developers
Join us for a thought-provoking discussion on the intersection of artificial intelligence and environmental sustainability. In this session, we'll delve into the potential of open-source AI models to create a greener future. Discover how these models can reduce energy consumption, promote innovation, and democratize access to AI technology. Learn about real-world examples and explore the ethical implications of AI development. This session is ideal for anyone interested in AI, sustainability, or the future of technology.
Developing Local AI Models with .NET and AutoGen
In this section, I would like to guide to all attendees for developing your own AI apps within local device, as using the perspectives of Small Language Model, with the integration of AutoGen: a framework that enables the development of LLM applications using multiple agents that can converse with each other to solve tasks, with the aid of Ollama and LM Studio.
Mastering Phi-3 Experiments: Innovative Approaches with JavaScript & Ollama
Join us for an immersive session where we dive deep into the world of Phi-3 experiments, leveraging the power of JavaScript and the versatile Ollama platform. Whether you're a seasoned developer or a curious newcomer, this workshop is designed to equip you with the knowledge and skills needed to create cutting-edge applications and AI-driven solutions. In this session, participants will learn about the latest advancements in JavaScript with "Bun" and how they can be applied to Phi-3 experiments, as well as explore the potential of the Ollama platform to enhance Phi-3 projects with state-of-the-art AI models as running locally on device. In this session, I will guide you through hands-on projects, enabling you to build practical skills and reinforce your learning. From networking with fellow enthusiasts to staying updated on the latest trends, this workshop offers a comprehensive experience tailored for anyone looking to advance their knowledge in the exciting intersection of web development and AI.
Building Your Intelligent Web App with Streamlit and Phi-3
In this session, we will explore how to build an intelligent web application using Streamlit, a Python open-source app framework that turns data scripts into shareable web apps in minutes. We'll cover the basics of setting up Streamlit, discuss how to integrate small language model (SLM), and demonstrate how to deploy a fully interactive web app.
Be productive on contributing community and writing a blog using VSCode and Medium
This session will guide you on bring productive on writing blog post, even using markdown with extension on visual studio code, powered with Astro to be your own web blog, and convert to HTML to Medium Website
Build intelligent apps using Azure AI Services and Machine Learning with Apache Spark
This session will explore the integration of Azure AI Services and Machine Learning with Apache Spark to build intelligent applications. I'll delve into how these services can enhance machine learning models with advanced cognitive features, such as natural language processing and computer vision, to create more dynamic and responsive apps. Attendees will gain practical insights into implementing these technologies to solve real-world problems and drive innovation in their projects.
Getting into Time Series Prediction with Kusto and Azure Data Explorer
Time series analysis and prediction are powerful tools for understanding and forecasting complex phenomena. In this session, you will learn how to use Kusto to perform time series analysis and prediction on real-world data. You will explore different methods and models for time series analysis, such as decomposition, stationarity, and much more. You will also learn how to evaluate and improve the accuracy of your predictions using metrics and cross-validation. By the end of this session, you will have the skills and confidence to apply time series analysis and prediction to your own projects using Kusto and Azure Data Explorer.