Craft Effective Machine Learning Pipelines

What if you could turn messy, chaotic data into a well-oiled machine that powers real-world solutions?

Join us for an exciting TechTalk where we'll dive into the art and science of building machine learning pipelines that don't just work—but thrive in production.

Whether you're an engineer, data scientist, or just someone curious about the magic behind Machine Learning, this session will give you the tools to design pipelines that are scalable, reproducible, and built to last.

In this session, you'll learn how to

• How to clean and prep your data like a pro: From handling missing values to managing imbalanced datasets.
• The secrets of feature engineering: Transformations, feature selection, and dimensionality reduction that make your models shine.
• Model training and tuning hacks: Hyperparameter optimization, cross-validation strategies, and ensuring reproducibility.
• Pipeline design that scales: Learn to structure pipelines for modularity, maintainability, and future-proofing.
• Deployment done right: Integrating pipelines into production and monitoring for drift and performance.

Why You Should Attend

• Save time and frustration: Automate repetitive tasks and focus on solving real problems.
• Bridge the gap from prototype to production: Learn how to make your Machine Learning projects maintainable and impactful.
• Future-proof your work: Build pipelines that adapt as data and requirements evolve.
• Gain a competitive edge: Master the skills that separate good Machine Learning projects from great ones.

By the end of this session, you'll have the knowledge and confidence to build Machine Learning pipelines that don't just work—they transform your workflows and deliver real business value. Get ready to take your machine learning game to the next level!

Speaker Bio

Dr. Leonardo Trujillo
Professor and leading researcher at the Tecnológico Nacional de México-Instituto Tecnológico de Tijuana (ITT).
He holds a Ph.D. in Computer Science from CICESE and specializes in evolutionary computation, genetic programming, machine learning, and AI. Dr. Trujillo has led national and international research projects and published widely in top journals and conferences. He currently serves as Editor-in-Chief of Genetic Programming and Evolvable Machines (Springer) and Co-Chair of the NEO Workshop Series.

About miCoach

miCoach powered by ITJ is your digital career coaching platform tailored for IT professionals in Latin America, crafted to encourage your career growth and continuous learning.

For more information, visit miCoach.

Organized by ITJ

ITJ is a technology company devoted to serving fast-growing, high-value market sectors that contribute to the growth of the Cali Baja region. With a Nearshore model, working with the highest quality software engineers, data scientists, and creative designers from across Mexico and Latin America, ITJ enables companies to create world-class software engineering centers of excellence in Tijuana, MX.

For more information, visit www.itj.com.