Frank Ceballos
Data Engineer
Spring, Texas, United States
Summary
👤
Senior🎓
Top SchoolFrank Ceballos is a data engineer with nine years of experience who blends production-grade data platform engineering with a strong background in physics and machine learning. At ExxonMobil he builds and secures PostgreSQL servers and Airflow pipelines in OpenShift, authors Python APIs used by trading teams for VaR calculations, and operationalizes ML experiments with Databricks and MLflow. His prior research and postdoctoral work in ultrafast lasers and medical physics inform a rigorous, experimental approach to feature engineering and anomaly detection in time-series data. He’s comfortable spanning the stack—from containerized infra and CI/CD on OpenShift to PySpark feature pipelines and model deployment on Azure—while mentoring non-IT teams on cloud-native application delivery. Outside work he writes and teaches about data science and even composes technical content that reached broad Medium readership, signaling an ability to translate complex technical ideas for diverse audiences.
9 years of coding experience
10 years of employment as a software developer
University of KansasMedical Physics Certificate, Health/Medical Physics, Medical Physics Certificate, Health/Medical Physics at Medical College of WisconsinBachelor of Science, Physics, 3.77, Bachelor of Science, Physics, 3.77 at University of Texas at Brownsville
Spanish, English
Stackoverflow
41reputation
2kreached
1answer
2questions
Github Skills (27)
jpeg6
large-files6
scikit-learn6
image-conversion6
machine-learning6
python6
numpy6
pandas6
scipy6
image6
microscopy4
financial-data3
image-analysis3
stock-data3
image-processing3
Programming languages (2)
Github contributions (5)
frank-ceballos/openshift-fastapi
Apr 2021 - Sep 2022
Deploy FastAPI in Openshift
Contributions:2 PRs, 11 pushes, 2 branches in 1 year 5 months
pythondockeropenshiftfastapiopenapi
frank-ceballos/Model_Design-Selection
Jun 2019 - Jul 2019
Contributions:15 commits, 12 pushes, 1 branch in 13 days
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