Ashley Svetlik
Associate Rotating Machinery Engineer
Avon, Indiana, United States
Summary
🤩
Rockstar🎓
Top SchoolAshley Svetlik is an Associate Rotating Machinery Engineer with seven years of hands-on experience in reliability, R&D, and production engineering across cryogenic and FDA-regulated facilities. At Messer Americas she has led fast-paced outage projects, supervised large contractor teams, and delivered process and cost improvements—such as an RFQ tool that cut quoting time by 90% and a burner redesign that boosted reliability by 85%. Comfortable bridging mechanical systems and software, she has contributed backend fixes and fuzz tests to the FeatureBase analytical database, improving data integrity in a project used for ML applications. A Texas Tech mechanical engineering graduate, Ashley combines practical field leadership with data-driven problem solving and a track record of turning complex maintenance challenges into auditable, repeatable solutions.
6 years of coding experience
3 years of employment as a software developer
Bachelor's of Science Mechanical Engineering, Bachelor's of Science Mechanical Engineering at Texas Tech UniversityTexas Tech University - Seville, SpainHigh School Diploma, High School Diploma at Cedar Creek High SchoolAustin Community College
English
Github Skills (11)
algorithm10
data-structures10
databases10
bitmap10
algorithms10
bitmaps10
go10
data-structure10
database10
testing9
fuzzing9
Programming languages (3)
Github contributions (5)
FeatureBaseDB/featurebase
Jun 2019 - Jul 2019
A crazy fast analytical database, built on bitmaps. Perfect for ML applications. Learn more at: http://docs.featurebase.com/. Start a Docker instance: https://hub.docker.com/r/featurebasedb/featurebase
Role in this project:
Back-end & Database Engineer
Back-end & Database EngineerContributions:92 commits, 25 PRs, 8 pushes in 1 month
Contributions summary:Ashley primarily focused on bug fixes and improvements related to the underlying data storage and operation logic within the `featurebase` database. They addressed several issues concerning the unmarshaling process, including those related to malformed data and potential integer overflows. Furthermore, the user introduced fuzzing code and test cases to identify and resolve vulnerabilities within the core data structures, ensuring data integrity and reliability. Their work involved modifying Go code and test files to enhance the robustness of the system.
pythonperfectml-applicationsfiredata-science
asvetlik/pilosa
Jun 2019 - Aug 2019
Pilosa is an open source, distributed bitmap index that dramatically accelerates queries across multiple, massive data sets.
Contributions:4 PRs, 73 pushes, 10 branches in 1 month
pilosadata-setsbitmapindexbig-data
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