Mack Sweeney
Senior Data Scientist II
Gainesville, Virginia, United States
Summary
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Senior🎓
Top SchoolMack Sweeney is a Senior Data Scientist II with 11 years of experience building production ML systems and leading cross-functional teams across fintech and enterprise SaaS. He combines deep academic training (ongoing Ph.D. work) with hands-on engineering—shipping Bayesian time-series, contextual bandit systems, and large-scale valuation models that have driven multi-hundred-million-dollar impact. At Capital One and UKG he moved model development to reproducible cloud pipelines, championed MLOps best practices, and led adoption of Vertex AI and Kubeflow for enterprise teams. He contributes to open-source tooling (notably refactoring gensim internals to improve save/load flexibility) and prioritizes maintainability and reproducibility in production code. Known for pragmatic mentorship and clear communication, Mack balances engineering rigor with practical product outcomes and a deliberate focus on building durable, reusable systems. Outside work he intentionally cultivates varied interests that feed continuous learning and long-term impact.
11 years of coding experience
9 years of employment as a software developer
Advanced Studies Diploma, 4.33, Advanced Studies Diploma, 4.33 at Shenandoah Valley AcademyBachelor of Science (B.S.), Computer Science, Magna Cum Laude, Bachelor of Science (B.S.), Computer Science, Magna Cum Laude at George Mason University
Stackoverflow
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Github Skills (6)
gensim10
object-oriented-programming10
python10
pickle10
data-structure9
data-structures9
Programming languages (6)
Github contributions (5)
piskvorky/gensim
Feb 2015 - Sep 2017
Topic Modelling for Humans
Role in this project:
Back-end Developer
Back-end DeveloperContributions:13 commits, 13 PRs, 109 comments in 2 years 7 months
Contributions summary:Mack's contributions center on refactoring and improving the core functionality of the `gensim` library's data handling and saving mechanisms. Specifically, they modified the `Dictionary` class and the `SaveLoad` base class to enhance how objects are saved to and loaded from files, enabling the use of file handles. They also addressed and fixed naming inconsistencies related to pickling operations. The user's work focuses on code maintainability and flexibility within the library.
pythonword-similarityword-embeddingsdata-miningfor-humans
macks22/gensim
Feb 2015 - Sep 2017
Contributions:84 pushes, 14 branches in 2 years 7 months
nlpmachine-learningfor-humanstopic-modellingmodelling
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