Vaibhav Malpani
GoogleDevExpert for GCP. Technical Lead at Incedo Inc.
Mumbai, India
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I’m Vaibhav Malpani — a Google Developer Expert (GDE) in Google Cloud with 9+ years of hands-on experience in designing, developing and deploying scalable cloud solutions.
I thrive at the intersection of code and architecture: writing clean Python, mobilising cloud services (GCP, serverless, containers), and turning complex problems into elegant, high-impact applications.
Beyond the console, I’m passionate about mentoring developers, speaking at tech events and sharing what I learn — because community growth fuels innovation.
If you’re looking to collaborate on AI-driven cloud applications, serverless infrastructures, or community-led dev & open-source initiatives — let’s connect.
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Zero to hero in machine learning using autoML tables
build and deploy state-of-the-art machine learning models on structured data at massively increased speed and scale.
Participants will learn basics of machine learning models and how to build a model for sturctured data.
build and deploy state-of-the-art machine learning models on structured data at massively increased speed and scale.
Participants will learn basics of machine learning models and how to build a model for sturctured data.
build and deploy state-of-the-art machine learning models on structured data at massively increased speed and scale.
Participants will learn basics of machine learning models and how to build a model for sturctured data.
Where Should I Run My Stuff? Choosing Compute Options
There are many different ways to run your code. And the tradeoffs are different when you're working with existing systems as opposed to designing an entirely new system. Google Cloud Platform (GCP) offers solid support for the full spectrum of compute models, whether you are using managed GCP offerings or open-source technologies. The talk will help you decide which models are the best fit for your systems as well as how the models map to Google Cloud services — whether Compute Engine, Container Engine, Cloud Run, App Engine, and/or Cloud Functions.
Video Sentiment Analysis with Gemini
We will learn how to get started with video processing with Gemini.
we will be analyzing a video of the first televised US presidential debate between John F. Kennedy and Richard Nixon. This debate is largely believed to have been critical in securing JFK's victory due to his calm and personable demeanor for the broadcast.
The Power of Generative AI with Google Cloud
"The Power of Generative AI with Google Cloud" is an illuminating exploration of how Generative AI, combined with the robust resources of Google Cloud, revolutionizes industries with its ability to create original content. Discover the limitless potential of this technology, from entertainment to marketing, and unlock new realms of innovation and creativity.
In the talk I will show the uses cases that people can solve with 10-12 live coding examples that they can easily try for themselves.
The Power of Generative AI with Google Cloud
"The Power of Generative AI with Google Cloud" is an illuminating exploration of how Generative AI, combined with the robust resources of Google Cloud, revolutionizes industries with its ability to create original content. Discover the limitless potential of this technology, from entertainment to marketing, and unlock new realms of innovation and creativity.
In the talk I will show the uses cases that people can solve with 10-12 live coding examples that they can easily try for themselves.
RAGs powered by Google Search
Retrieval Augmented Generation (RAG) — an architecture pattern that combines LLMs with backend information retrieval from other information sources. This approach can help overcome some of the most significant limitations of LLMs, such as knowledge limited to the scope of training data, lack of relevant context from enterprise data, and data that is not fresh or outdated.
Intro to AI Agents and ADK
Explore the fundamentals of AI agents and the Agent Development Kit (ADK), including their architecture, capabilities, and practical applications. This session provides a hands-on introduction to building intelligent agents using ADK, empowering developers to create adaptive, goal-driven systems.
Google Cloud's GenAI: Pioneering the Future
The talk with cover 3 main things:
Model Garden: Model Garden is a collection of open-source machine learning models and code that are maintained by Google.
GenAI Studio: Generative AI Studio is a Google Cloud console tool for rapidly prototyping and testing generative AI models.
In the talk I will show the uses cases that people can solve with 10-12 live coding examples that they can easily try for themselves.
Duet AI: Will Demo 3 places in google cloud were GenAI is being used through DuetAI.
1. in VS Code (App Dev)
2. in Cloud Console (Ops, Assistant)
3. in BQ Editor (BigQuery Assistant)
AWS Deepracer Workshop
The AWS DeepRacer workshop is a hands-on learning experience that teaches you how to use reinforcement learning to train a car to drive autonomously on a virtual track. The workshop covers the basics of reinforcement learning, how to use the AWS DeepRacer console to create and train a model, and how to improve your model's performance.
The workshop is designed for beginners with no prior experience in reinforcement learning or machine learning. You will need a basic understanding of Python.
How would the workshop look like:
Day 1: I will train them how to do code the deepracer model and will create a virtual race for all.
Day 2: top 15 participants form the virtual race will get to race on a physical race track with physical car (I have the Deepracer car)
Top 3 participants on the physical race will be deemed winners.
APIs to chatbot in 3 simple steps
Discover the power of Vertex AI Extensions in simplifying chatbot development over APIs. This talk explores how to seamlessly integrate APIs into conversational interfaces using Vertex AI. Learn to create, deploy, and interact with chatbots in minutes, without extensive coding or training. From understanding user intent to executing CRUD operations, we'll showcase practical examples of chatbot- API integration with no code.
Talk will involve live demo and write up so that participants can have a look at the talk later on.
Vaibhav Malpani
GoogleDevExpert for GCP. Technical Lead at Incedo Inc.
Mumbai, India
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