CVS Health
Oct 2023 - Nov 2025
Sr. Machine Learning Engineer
Sept 2025 - Nov 2025
- Rebuilt Machine Learning Pipeline with PySpark, Databricks and MLFlow to improve runtime.
- Designed an algorithm to reassign patient tiers that improved operational cost efficiency by 20%.
Machine Learning Engineer
Mar 2025 - Sept 2025
- Converted main pipeline from Azure Data Factory to Databricks Asset Bundle Jobs with infrastructure-as-code.
- Assigned 660K patients geolocated census blocks using PySpark and Azure Maps SDK to improve location-based analyses for Social Determinants of Health.
Sr. MLOps Engineer
Oct 2023 - Mar 2025
- Engineered model serving pipeline with Databricks, MLFlow, and NumPy to reduce deployment time by 83%, and include 3x more ML Models, resulting in 2X faster throughput
- Built 9 CI/CD pipelines to publish reusable software packages, automate tests, deploy pipelines and internal documentation, saving hundreds of hours of manual and rote development time.
Stony Brook University
Aug 2021 - May 2023
M.S. Computer Science
Thesis - Non-rigid registration with Conformal Harmonic Maps
Aug 2022 - May 2023
- Created a novel method of 3D facial registration using a facial detection model to identify the boundary of the face and a conformal harmonic map to optimize the edges between face vertices, a M¨obius transformation to align the faces, and a KNN to compute the non-rigid mapping between faces.
VideaHealth
May 2022 - Aug 2022
- Implemented a Gaussian-smoothed heatmap cost function on segmentation landmark points with NumPy and OpenCV to align training convergence and the visual representation of the predictions.
- Conducted A/B testing to study the runtime performance of 3 lightweight CNN encoder backbones to confirm alternative encoders, though faster, were less performant.
Bloomberg LP
Jun 2017 - Jun 2021
Data Engineer - Quality
Apr 2019 - Jun 2021
- Designed a custom algorithm using NumPy and Pandas to capture billions of missing data points.
- Redesigned a batch processing ETL pipeline with Python multithreading to reduce runtime by 10 hours and improve scalability and maintenance.
Data Engineer - NLP
Apr 2018 - Apr 2019
- Built an end-to-end document classification system using Python microservices, Hadoop, proprietary cloud storage and Splunk to save $250K /yr on headcount.
- Implemented a TF-IDF model on 50K municipal documents on a Hadoop cluster using PySpark, achieving 95% precision and 90% recall across 5 different document types.
Data Engineer - Operational Workflows
Jun 2017 - Apr 2018
- Improve data routing through JIRA, used as a work order software.
- Analyzed data point quality across asset classes.
University of Cincinnati
Aug 2012 - Apr 2017
B.B.A Information Systems
GE Aviation
Aug 2014 - Aug 2016
Completed 4 internships in the Digital Technology Leadership
Program. Learned preliminary Python programming and how to
present technical topics to a non-technical audience.
Ferno Washington
Jan 2014 - Apr 2014
Learned to write advanced Microsoft Excel functions, writing
100+ line "IF" statements. It got my wheels turning -
there must be a better way. This led me to try
programming.
Paycor
May 2013 - Aug 2013
As a Sales Intern, I learned I'm not good at sales and may have a
knack for data.