Dave May - President at KDMAY Inc.

Dave May

President at KDMAY Inc.

Greater Chicago Area United States

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Summary

👤

Senior

🎓

Top School

Dave May is a seasoned IT leader and consultant with 15+ years of experience architecting infrastructure, security, and cloud solutions across financial services, public sector, and SMBs. As President of KDMAY Inc. he combines hands-on project management—leading a $600M divestiture and numerous IT implementations—with deep technical chops in data center, SaaS/IaaS/PaaS, IAM, and BI systems. Previously he ran IT for a 20K-member global organization, overhauling infrastructure, cutting $250K in annual costs, and modernizing security and monitoring practices. He also contributes to scientific open-source software, enhancing PETSc’s DMSwarm component with performance fixes and PIC test cases, reflecting a practitioner’s attention to correctness and scalability. Comfortable moving between executive strategy and code-level troubleshooting, he brings pragmatic, results-oriented leadership grounded in a BS in Computer Science.

15 years of coding experience

28 years of employment as a software developer

BS Computer Science, Applied Data Processing Science, BS Computer Science, Applied Data Processing Science at Northern Illinois University

Computer Science, Computer Science at Central College

Github Skills (13)

c1710

petsc10

c1110

dm9

dmp9

plex9

mpi9

c-language8

data-structures8

data-structure8

numerical-methods8

cprogramming-language8

linear-algebra7

Programming languages (5)

C++CJupyter NotebookPythonFortran

Github contributions (5)

petsc/petsc

Nov 2010 - Aug 2019

Mirror of https://gitlab.com/petsc/petsc

Role in this project:

Back-end Developer

Contributions:270 commits in 8 years 9 months

Contributions summary:Dave has contributed to the development and testing of the DMSwarm component within the PETSc library. Their work involved implementing features for data management and migration, and they have developed test cases to verify the functionality, including the point-in-cell (PIC) methods used for particle-based simulations. The user’s focus is the integration of user supplied methods for point location, ensuring that the results were consistent. The contributions also include bug fixes for memory related issues and performance optimizations.

petscgitlab

hpc4geo/Python-for-Earth-Science-Students

Mar 2021 - May 2022

Contributions:241 commits in 1 year 2 months

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