Anyone AI Talks: Mastering the ML Model Lifecycle with MLflow

​This session introduces the essential concepts of MLOps with a practical focus on MLflow, a leading open-source platform for managing machine learning workflows.

​Participants will learn how to track experiments, log parameters, metrics, and artifacts, and register and version models using MLflow’s Tracking and Model Registry components.

​The lecture bridges theory and practice, highlighting how reproducibility in ML systems depends on consistent data, code, and environment configurations, and demonstrates, through a live notebook example, how experiment tracking supports model evaluation and lifecycle governance in production-oriented pipelines.

​About the Speaker

​Ivan Reyes is the Lead AI/ML Instructor at Anyone AI, a PhD Student in Computer Science at CINVESTAV, and MLFlow Ambassador.

​He is currently leading AI/ML initiatives at Layer7, specializing in developing and fine-tuning LLMs, building and optimizing models for NLP, NLU, computer vision, and focusing on end-to-end pipelines for speech-to-text (STT) and text-to-speech (TTS). Key expertise includes: training and fine-tuning custom models for chat and voice bots, implementing cutting-edge algorithms, including LLMs, and solving complex, data-intensive problems, and collaborating with teams to integrate AI solutions and drive innovation.