Summary
Isaac Hernández is a Senior AI Engineer and mathematician with five years of hands-on experience building end-to-end ML and data products across startups and large enterprises. He has shipped production ML services—real-time underwriting models, RAG/Q&A microservices, document indexers, and fraud detection pipelines—deployed on Kubernetes, Snowflake, and cloud data lakes. Comfortable across data science, engineering and MLOps, he blends algorithmic depth (LLMs, transformers, PySpark, anomaly detection) with pragmatic system design and deployment. Notably, he led migration projects from on-prem Hadoop to cloud lakehouses and built data-integrity and monitoring frameworks for production risk systems. Based in Mexico City, Isaac thrives on automating workflows and discovering business value through data, continually adopting new tools and open-source models to accelerate delivery.
5 years of coding experience
4 years of employment as a software developer
Universidad Nacional Autónoma de México (UNAM)