Summary
Harlley Lima is a Senior Machine Learning Engineer based in Amsterdam with nine years of experience building production-ready forecasting and ML infrastructure for large retailers. At IKEA he leads fulfilment forecasting efforts, combining LightGBM-based demand and dimension prediction with robust feature engineering, explainability and end-to-end MLOps. He has strong hands-on expertise in ETL and cloud-native tooling (dbt, BigQuery, Kubernetes, Airflow, Terraform, Metaflow, MLflow) and production APIs in Go, plus experience deploying both batch and real-time model serving. Prior roles at Albert Heijn and in academia sharpened his abilities in cross-validation design, experiment evaluation, and statistical score standardization from his PhD work. He blends research rigor with pragmatic engineering—able to move models from prototype to scalable pipelines—and has taught data science and programming at university level. Outside his day-to-day, he’s comfortable across the stack, from PySpark and Databricks to Grafana/Prometheus observability, making him a bridge between data science and platform teams.
9 years of coding experience
5 years of employment as a software developer
Ensino médio, Ensino médio at Centro Federal de Educação Tecnológica de Minas Gerais
Master's Degree Computer Science, Master's Degree Computer Science at Universidade Federal de Minas Gerais
Portuguese, English, Spanish