

Punsiri Boonyakiat
Senior Data Engineer
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I’m Punsiri Boonyakiat, also known as Beat. I have accumulated over five years of experience in the tech industry, specializing in AI and data engineering. I also have the Google Cloud Certification as a Professional Data Engineer. One of my key projects at the company is integrating the LINE Messaging API with Vertex AI and developing chatbot solutions for retail. My work focuses on leveraging AI tools, such as Gemini Code Assist, to enhance data workflows and create innovative solutions in data-driven environments. I’m passionate about contributing to the community, not just as a speaker but also as a content creator. I’ve spoken at numerous events, including DevFest, LINE Dev Conference, Women Techmakers, Cloud AI Study Jam 2024 (ChaiyoGCP) in Thailand, and BuildwithAI Bangkok. You can find all my speaking engagements, writing, and projects on my website: https://punsiriboo.github.io/
[GDG DevFest Bangkok 2024] - The Future of Retail E-commerce with Gemini AI
The talk showcases how Vertex AI and Gemini revolutionize retail e-commerce using Retrieval-Augmented Generation (RAG) to enhance product information and create a seamless shopping experience. The LINE Chatbot features three key functions: general product inquiries (Vertex AI Agent Builder), text-based product search (Vertex AI Search), and image-based product search (Gemini Image Understanding and Vertex AI Search)
Gemini Coding Assists for Developers Productivity
The talk demonstrates how to Apply Gemini coding Assistance to increase productivity of developers [ about 10 Mins]
In the talk will demonstrate:
Set up [about 5]
• Enable Gemini for Google Cloud API
• adding Extensions Gemini in VS code
Demo [15 Mins]
• Prompt to generate Python api
• Prompt to generate HTML websites
• Prompt to Explain code
• Prompt to Generate Unit test
• Prompt to Generate mermaid JS Diagrams to Explain code
[LINE Dev Conference 2024] - The Future of Retail e-commerce with Gemini AI
The talk showcases how Vertex AI and Gemini revolutionize retail e-commerce using Retrieval-Augmented Generation (RAG) to enhance product information and create a seamless shopping experience. The LINE Chatbot features three key functions: general product inquiries (Vertex AI Agent Builder), text-based product search (Vertex AI Search), and image-based product search (Gemini Image Understanding and Vertex AI Search),
Technologies: Vertex AI Search, Vertex AI Agent Builder, Gemini
[Chaiyo GCP - Online Code Along Session] - Gemini for Data Scientist [Running Codelab]
The lab session at the Chaiyo GCP Event in Thailand focuses on using Gemini in BigQuery as an assistant to build a K-means clustering model. As a speaker, I guided participants through segmenting customers based on their order behaviors by writing prompts for Data Scientists’s workflow. Technologies: Gemini

Punsiri Boonyakiat
Senior Data Engineer
Actions
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