Andrew Casey
Digital Solutions Analyst at Komatsu
Chicago, Illinois, United States
Summary
🤩
Rockstar🎓
Top SchoolAndrew Casey is a Senior Digital Solutions Analyst with eight years of experience building connected fleet, eCommerce, and telematics products that supported $36M+ in digital sales. He combines product ownership, agile delivery, and Prosci-certified change management to translate regulatory and field requirements into clear user stories, lead UAT across 20+ production sprints, and align engineering, IT, and commercial teams. At Komatsu he drove API and Punchout integrations, asset onboarding at AEMP scale, and Power BI-backed prioritization to improve roadmap decisions and operational adoption. He pairs hands-on technical fluency—demonstrated by C++ performance fixes and anomaly detection work in the high-profile CMS offline software ecosystem—with practical product delivery in regulated, real-world environments. Based in Chicago, he brings a data-informed, customer-first approach to launching and scaling B2B digital experiences for heavy equipment and transportation. An uncommon combination of ML research exposure on GitHub and frontline product delivery helps him bridge experimental models and production constraints.
8 years of coding experience
Bachelor's degree Economics, Bachelor's degree Economics at University of Wisconsin-Madison
Github Skills (9)
memory-management10
c-language10
cprogramming-language10
vector9
high-energy-physics8
cms8
experiment8
cplus7
cpp7
Programming languages (5)
Github contributions (5)
cms-sw/cmssw
Jul 2018 - Mar 2025
CMS Offline Software
Role in this project:
Back-end Developer
Back-end DeveloperContributions:228 reviews, 61 PRs, 1820 comments in 6 years 9 months
Contributions summary:Andrew primarily focused on fixing memory leaks and other performance issues within the L1TCaloSummary module, a core component of the CMS offline software. Their contributions involved directly modifying C++ code, specifically addressing memory management concerns related to the UCTRegion vector and introducing smart pointers to mitigate these issues. The user also integrated anomaly detection using the CICADA framework and model loading, expanding the module's functionality.
cmscernweb-appc-plus-plusbackbonejs
aloeliger/Run2HTT_Combine
May 2019 - Feb 2022
Central Repository for Higgs To Tau Tau Combine Harvester models and running scripts
Contributions:41 releases, 41 PRs, 363 pushes in 2 years 9 months
higgscombineharvestertau
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.