Summary
Jonathan Apaza is a Machine Learning Engineer Advisor with nine years of experience building and operationalizing ML models at scale, primarily within Interbank's MLOps practice. He blends deep learning foundations and hands-on Python engineering with extensive AWS cloud expertise (SageMaker, CDK/CloudFormation, Step Functions, Lambda, Glue, Athena, DynamoDB, etc.) to automate re/ training, inference, deployment and continuous monitoring. Passionate about developer tooling, he designs feature stores, variable recommenders, automated A/B testing and model governance to reduce maintenance burden and increase velocity. Jonathan is exploring practical LLM integration to offload operational workflows and enjoys web development as a way to prototype ML-driven experiences. His trajectory from intern to advisor inside the same organization reflects strong product ownership, pragmatic delivery, and a deep commitment to production readiness.
9 years of coding experience
4 years of employment as a software developer
Egresado, Ciencia de la Computaci贸n, Egresado, Ciencia de la Computaci贸n at Universidad Cat贸lica San Pablo