OSHK Meetup #88 x Python User Group - Agentic AI w/ Red Hat

Registration Form(required) : https://forms.gle/6Yrt5JrBxnvuFov8A
Please submit the form for admission

This is Red Hat sponsor event, extended party during KubeCon Week. F&B will be provided.

Venue: Red Hat office, Suites 3507-11, 35/F, Tower 2, The Gateway, Harbour City, Tsim Sha Tsui, Kowloon.

Title : Supercharge Agentic AI Apps: A DevEx-Driven Approach to Cloud-Native Scaffolding
Abstract:
Agentic AI transforms how intelligent systems interact with the real world, but building and deploying these agents remains a complex challenge. This demo-driven talk introduces a cloud-native scaffolding approach using software templates to simplify development, making it more accessible and efficient for application developers.
Through live demonstrations, I’ll show how this framework speeds up the development of agentic AI applications. Key features include automated code generation, pre-configured infrastructure, and seamless integration with popular AI libraries. These tools help developers reduce setup time and focus on building intelligent functionality.
By the end of this session, attendees will understand how cloud-native scaffolding streamlines agentic AI development and gain practical knowledge on leveraging these tools to build intelligent agents faster and more effectively.

Speaker : Daniel Oh
Daniel Oh is a Java Champion and Senior Principal Developer Advocate at Red Hat, where he leads efforts to advance cloud-native innovation through open-source technologies. Renowned for his ability to bridge technical and collaborative gaps, he empowers developers and organizations to build transformative solutions—from AI-driven applications and serverless architectures to resilient microservices. As a CNCF Ambassador, Daniel actively shapes the cloud-native ecosystem, fostering partnerships between enterprise developers, AI engineers, and platform engineering teams to accelerate hybrid cloud adoption. His technical leadership extends beyond code contributions, as he mentors communities and champions strategies that enable businesses to thrive in evolving digital landscapes. A dynamic storyteller and educator, Daniel captivates global audiences through keynote speeches, workshops, and interactive sessions, where he demystifies emerging technologies and inspires the tech community to embrace the future of open-source innovation.

Title: Running Large Language Models Locally with Open Source AI Companions
Abstract:
Open-source LLMs are gaining significant traction in 2025, with the latest innovations from DeepSeek, Meta, Google, and others. Running these models locally offers developers and privacy-focused users greater control, performance, and data security.
This session explores how to choose the right open-source model, deploy with open source AI companions, and integrate it with your data. Key topics include model quantization, integration with development tools, and advanced techniques like Retrieval-Augmented Generation (RAG) for connecting LLMs to private data sources.

Speaker: Alex Lee, Senior Solution Architect
Alex Lee is a Senior Solution Architect at Red Hat, where he advises enterprise clients in Hong Kong on cutting-edge technologies, including artificial intelligence (AI), multi-hybrid cloud strategies, DevOps practices, and infrastructure automation. With extensive experience in the IT industry, Alex has previously worked as an Architect role at global system integrators and software vendors, delivering solutions for large enterprises and service providers. His technical expertise makes him a trusted advisor in driving digital transformation through open source technologies.