Summary
Brook Wassie is a data engineer and scientist with 8 years of experience building cloud-native ML and analytics platforms across AWS, GCP, and Databricks from San Jose. He has driven measurable business impact—most notably a 20% lift in user engagement through a TensorFlow recommendation engine and a production MLOps pipeline using Docker, Kubeflow, and Redis. Equally comfortable writing PySpark ETL and orchestrating Airflow jobs as he is prototyping NLP and embedding pipelines, Brook blends research-honed rigor from MIT with product-focused delivery at agencies and startups. He has a track record of cutting pipeline runtimes in half and translating complex experimental genomics workflows into robust data products—an unusual cross-domain strength that helps him bridge engineering, science, and stakeholder needs.
9 years of coding experience
7 years of employment as a software developer
Bachelor's degree Biological/Biosystems Engineering, Bachelor's degree Biological/Biosystems Engineering at Massachusetts Institute of Technology