Led development of end-to-end ML pipelines, predictive analytics, anomaly detection, and forecasting solutions; designed scalable ML workflows and governance across government and enterprise programs; deployed ML models using Docker and Kubernetes; built data-powered decision support across cloud platforms; established monitoring, explainability, and stakeholder collaboration.

Machine Learning Engineer at Facebook

October 1, 2016 - November 1, 2018

Developed and productionized ML models supporting news feed ranking, content recommendations, growth experiments, and integrity signals across Facebook's consumer platform.

Database Developer at Comcast

August 1, 2013 - September 1, 2016

Designed and developed high-performance relational database solutions supporting customer, billing, provisioning, and analytics across Comcast's cable and broadband platforms.

Data Scientist at Johnson & Johnson

December 1, 2018 - May 1, 2022

Developed and deployed data science and ML solutions supporting pharmaceutical manufacturing, supply chain optimization, quality analytics across regulated business units.

Senior Data Scientist / Machine Learning Engineer at MLOps

June 1, 2022 - March 1, 2026

Led development of ML pipelines and advanced analytics for decision intelligence, predictive forecasting, and anomaly detection across government and enterprise programs. Built end-to-end ML pipelines with Python, PyTorch, XGBoost, Spark, and Airflow; deployed models as containerized services on Docker and Kubernetes with real-time and batch inference; established model monitoring and governance; partnered with cross-functional teams to translate mission requirements into deployable analytics.

Education

Bachelor's Degree in Computer Science at Georgia Institute of Technology

January 1, 2009 - January 1, 2013

Bachelor's Degree at Georgia Institute of Technology

January 1, 2009 - January 1, 2013

Qualifications

Add your qualifications or awards here.

Industry Experience

Retail, Telecommunications, Financial Services, Healthcare, Media & Entertainment, Government, Life Sciences, Software & Internet, Professional Services