David Daeschler
Chief Data Science & AI Officer
Orlando, Florida, United States
Summary
👤
Senior🎓
Top SchoolDavid Daeschler is an experienced technology leader and founder with 14 years in software and over three decades of hands-on engineering through ventures like SlideWave and InWorldz. As EVP of Data Science & AI (previously CTO) at OneRail, he drives data-driven optimization and orchestration for final-mile logistics, improving speed, dependability, and cost for enterprise deliveries. He blends executive strategy with deep technical chops—having written low-level C fixes for cross-platform projects like psutil to resolve memory leaks and improve CPU affinity on Windows and Linux. His background spans distributed systems, compilers, virtual machines, and scalable storage solutions, reflecting a pattern of solving performance and reliability challenges at scale. Based in Orlando, he combines product-focused UX sensibilities from SlideWave with rigorous architecture and operational experience. Notably, he has a track record of moving research-grade systems (virtual world runtimes, NoSQL inventory stores, physics engines) into robust production deployments.
14 years of coding experience
26 years of employment as a software developer
Computer Science, Computer Science at University at BuffaloDeep Learning: Mastering Neural Networks Deep Learning, Deep Learning: Mastering Neural Networks Deep Learning at MIT xPRO
Stackoverflow
5reputation
271reached
0answers
2questions
Github Skills (14)
windows10
c1710
memory-management10
linux10
c1110
python10
psutil10
platform-independent9
system-programming9
multiplatform9
cross-platform9
cpu8
gremlin6
tinkerpop6
Programming languages (8)
Github contributions (5)
giampaolo/psutil
Aug 2015 - Aug 2015
Cross-platform lib for process and system monitoring in Python
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 comment in 1 day
Contributions summary:David primarily focused on fixing memory leaks and other error conditions within the psutil library, specifically targeting Windows and Linux platforms. Their work involved modifying C code to address issues related to process handling, memory management, and environment variable retrieval. The contributions included improvements to CPU affinity handling and Python 3.3 compatibility, enhancing the library's stability and cross-platform functionality.
monitoringpythoncpumemorydisk
ddaeschler/audio-reflector
Dec 2011 - Aug 2014
Contributions:28 commits in 2 years 9 months
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.