Theo Lebrun
Senior Data Engineer at Ippon Technologies
New York City, New York, United States
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Theo Lebrun is a seasoned Data Engineer and Technology Consultant based in New York City, with extensive experience in cloud computing, databases, and software development. He has a strong command of tools and technologies such as AWS, Kafka, Databricks, and Python, enabling him to assist numerous clients in optimizing their data pipelines to meet and exceed their objectives.
Theo's technical expertise are matched by his passion for sharing his knowledge with others. He has authored multiple blog posts while also being an active speaker at various conferences and meetups. Some of his recent presentations include technical topics such as creating AI-powered chatbots, implementing agent workflows, and leveraging cloud-based AI APIs.
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Topics
Unlocking AI and Machine Learning at Scale with Snowflake Cortex
AI and machine learning are transforming industries, but building scalable, high-performance ML solutions remains a challenge. Snowflake Cortex simplifies this by enabling users to run AI and ML models directly in the Snowflake Data Cloud.
In this session, I'll dive into how Snowflake Cortex can help you manage large-scale data pipelines, train and deploy models, and streamline your ML workflows—all without the need for complex infrastructure. Whether you're handling massive datasets or deploying AI models, this talk will provide actionable insights to help you accelerate your machine learning initiatives using Snowflake Cortex.
Don’t miss the opportunity to learn how to integrate cutting-edge ML capabilities into your data strategy.
Creating a Modern Web App Using Spring Boot and Vue.js with JHipster
In this talk, I will demonstrate how JHipster can be used to generate in few minutes a modern Web app that uses Spring Boot and Vue.js. JHipster will provide everything you need to start a complete modern Web app and take it to production in a very short amount of time. On top of that, the back-end is built as a high-performance and robust Java stack with Spring Boot. More details can be found here: https://www.jhipster.tech/.
Build next generation Big Data applications with Delta Lake
Delta Lake (https://delta.io/) is an open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark and also APIs for Scala/Java, Python and Rust. A Lakehouse is a modern data architecture that reimagines data warehouses in response to the availability of affordable and highly reliable storage solutions.
Delta Lake provides key benefits and will fit perfectly in your Big Data architecture:
- ACID Transactions
- Schema Evolution
- Time Travel
- Audit History
- Handle petabyte-scale tables
- Platform Agnostic (Cloud, On-prem, or locally)
- DML operations through its SQL and Spark API
In this presentation, I will provide an introduction to Delta Lake, explaining how it works, and its key features and benefits. Whether you're a data scientist, data engineer, or business analyst, this session is for you.
Craft your own Generative AI Chatbot with Amazon Bedrock
In this compelling session, dive deep into the fascinating world of Artificial Intelligence and learn how to craft your very own Generative AI Chatbot using the powerful capabilities of Amazon Bedrock.
Your Chatbot will be able to answer questions based on your own documents. Whether you're a data scientist, data engineer, or business analyst, this session is for you!
By the end of this session, you'll have a comprehensive understanding of the tools and techniques required to build a Generative AI Chatbot on Amazon. Whether you're a seasoned developer or someone just starting their AI journey, this talk equips you with the skills to unleash your creativity and innovation in the realm of Artificial Intelligence.
Orchestrating AI Knowledge Bases with Apache Airflow
In the age of Generative AI, knowledge bases are the backbone of intelligent systems, enabling them to deliver accurate and context-aware responses. But how do you ensure that these knowledge bases remain up-to-date and relevant in a rapidly changing world? Enter Apache Airflow, a robust orchestration tool that streamlines the automation of data workflows.
This talk will explore how Airflow can be leveraged to manage and update AI knowledge bases across multiple data sources. We'll dive into the architecture, demonstrate how Airflow enables efficient data extraction, transformation, and loading (ETL), and share insights on tackling challenges like data consistency, scheduling, and scalability.
Whether you're building your own AI-driven systems or looking to optimize existing workflows, this session will provide practical takeaways to make the most of Apache Airflow in orchestrating intelligent solutions.
JConf.dev 2024Sessionize Event
AWS Community Day New York 2024Sessionize Event
Devnexus 2024Sessionize Event
DataTune 2024Sessionize Event
Devnexus 2023Sessionize Event
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