Technical Talks & Workshops


I speak about building cloud native data applications. If you'd like me to speak at your event, drop me a mail at iamaatoh@gmail.com

Here's my profile on Sessionize.

Jul 26, '24 | upGrad Institute, Singapore (Webinar)

Leverage GenAI for data cleaning, augmentation, and complex business analytics. This talk walks through GenAI capabilities for synthetic data generation, using multimodality for feature engineering and working with AI agents for data insights.    [Slides] [Demo]

Jul 13, '24 | Google IO Extended, GDG Manila, Philippines

This talk dives into the fast-evolving world of AI agents and their powerful capabilities. Starting with a comprehensive introduction, it explores the core concepts involved in designing an AI agent. It also briefly covers basics of RAGs and LLMs. The talk then goes over the different agent architectures leveraging Vertex AI such as AI agent builder, native function calling and Langchain with Vertex AI, and evaluates the pros and cons of each. Finally, the talk wraps up with some real-world examples and a live demo of the AI agent builder.    [Slides]

Jun 22, '24 | Google IO Extended, GDG Cloud Kuala Lumpur, Malaysia

This talk dives into the fast-evolving world of AI agents and their powerful capabilities. Starting with a comprehensive introduction, it explores the core concepts involved in designing an AI agent. It also briefly covers basics of RAGs and LLMs. The talk then goes over the different agent architectures leveraging Vertex AI such as AI agent builder, native function calling and Langchain with Vertex AI, and evaluates the pros and cons of each. Finally, the talk wraps up with some real-world examples and a live demo of the AI agent builder.    [Slides]

Jun 19, '24 | DataScienceSG, Singapore

This talk dives into the fast-evolving world of AI agents and their powerful capabilities. Starting with a comprehensive introduction, it explores the core concepts involved in designing an AI agent. It also briefly covers basics of RAGs and LLMs. The talk then goes over the different agent architectures leveraging Vertex AI such as AI agent builder, native function calling and Langchain with Vertex AI, and evaluates the pros and cons of each. Finally, the talk wraps up with some real-world examples and a live demo of the AI agent builder.    [Slides]

Apr 18, '24 | Women TechMakers & GDG Cloud, Singapore

This talk explores the process of designing an AI chatbot using Retrieval Augmented Generation. We cover the technical components of building a RAG-powered chatbot using Vertex AI through a detailed code walkthrough. Following the walkthrough, there is a demo of the chatbot built using Vector Search and GCS. The nuances of building different kinds of knowledge bases and an evaluation framework for the decision to invest in chatbot development is also covered.    [Slides]

Mar 16, '24 | GDG Cloud, Singapore

Hands-on workshop about the multimodality features of the latest Gemini Pro Vision model using Vertex AI    [Slides]

Jan 19, '24 | Practical Blockchain, Singapore

Walk-through of analyzing the first Eth accounts and what they are doing now.    [Slides]

Nov 18, '23 | GDG Devfest, Singapore

This talk walks through the process of transforming an unstructured database of over 22 million entities into a text-searchable resource. We deep-dive concepts of indexing, (n)grams and tf-idf. And explore the insights from the successes, challenges and limitations of this technical project. (with GCP)    [Slides]

Nov 04, '23 | GDG Cloud Kuala Lumpur, Malaysia

This talk walks through the process of transforming an unstructured database of over 22 million entities into a text-searchable resource. We deep-dive concepts of indexing, (n)grams and tf-idf. And explore the insights from the successes, challenges and limitations of this technical project. (with GCP)    [Slides] [Demo]

Oct 14, '23 | GeekcampSG, Singapore

This talk walks through the process of transforming an unstructured database of over 22 million entities into a text-searchable resource. We deep-dive concepts of indexing, (n)grams and tf-idf. And explore the insights from the successes, challenges and limitations of this technical project. (with AWS)    [Slides]