Arun Kumar N
Presidio - Lead Data Engineer
Chennai, India
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Arun is a lead data engineer at Presidio over 7 years of experience on AWS Cloud technologies. He works on designing/developing the data pipeline for streaming as well as batch processing as prescribed by AWS best practices. He also worked on designing the data pipeline architecture for a new product that quickly scaled from 0 to 125000 daily active users. He is also a blockchain enthusiast.
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Beyond Pixels: Exploring the Stable Diffusion Revolution in AI
In this session, we will dive into how Stable Diffusion models are changing and how AI creates and understands images. This model is a big step forward, using a unique method of adding and removing noise to generate realistic pictures, blending art and technology like never before. We’ll break down how Stable Diffusion works, look at its uses in creative fields, and discuss how it’s shaping the future of digital art. Whether you're interested in AI, digital art, or just curious about new technology, this talk will give you a clear look at what’s possible beyond the pixels.
Building robust generative search system using RAG
In this session, you can dive deeper into RAG components, discuss recent advancements, highlight use cases, and explore potential challenges and future directions in building robust generative search systems using RAG.
Unlocking the Power of Language Models through Prompt Engineering
This session delves into the intricacies of prompt engineering and its profound impact on the output of language models. We'll explore the fundamental principles behind prompt design, dissecting how different prompts influence the behavior and responses of models
Integrate LLM with real time data
In this session, we delve into the cutting-edge realm of integrating Large Language Models (LLMs) with real-time data streams.
As the demand for instantaneous insights and decision-making escalates across various industries, the fusion of LLMs with live data sources emerges as a potent solution.
- Whether you're in finance, healthcare, marketing, or any other field, harnessing the power of LLMs can revolutionize how you extract value from real-time data.
AWS Glue: Incremental data processing & Dynamically scale the worker nodes
This session will cover the features and Benefits of AWS Glue Service with a use case. The use case elaborates on how AWS Glue is effectively used to process incremental data and dynamically handle the glue job worker node based on the source data size from S3.
AWS Community Day - Hungary 2024 Sessionize Event
Global Azure 2024-Chennai Sessionize Event
AWS Community Day - Hungary Sessionize Event
Arun Kumar N
Presidio - Lead Data Engineer
Chennai, India
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