Mark Coatsworth
Systems Specialist at Vector Institute
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolMark Coatsworth is a systems engineer with 15+ years of hands-on experience building and operating distributed systems, HPC services, and ML infrastructure, currently enabling production AI at the Vector Institute. He blends low-level performance work (kernel-bypass optimizations at Google) with cloud and orchestration expertise (Docker, Kubernetes, GCP) and deep familiarity with batch/HPC schedulers like HTCondor and Slurm. At UW–Madison he was a core contributor to the HTCondor project, improving metrics, user tooling and Python bindings—work that bridges research clusters and national grids. Comfortable in C++ and Python, he focuses on distributed inference/training, model parallelism, and performance analytics to make research systems reliably deployable. Based in Old Toronto, he pairs an academic CS background (M.S., UW–Madison) with eclectic early experience in freelance and product shops, bringing both operational rigor and pragmatic engineering judgment.
11 years of coding experience
18 years of employment as a software developer
Master of Science (M.S.), Computer Science, Master of Science (M.S.), Computer Science at University of Wisconsin-MadisonBachelor of Arts (B.A.), English Literature, Bachelor of Arts (B.A.), English Literature at University of Toronto - Victoria UniversityToronto Metropolitan University
Github Skills (2)
documentation10
python9
Programming languages (5)
Github contributions (5)
htcondor/htcondor
Apr 2017 - Mar 2022
HTCondor source repository, formerly the Condor Project
Role in this project:
Back-end Developer
Back-end DeveloperContributions:32 reviews, 1076 commits, 37 PRs in 4 years 11 months
Contributions summary:Mark's contributions focused on enhancing the documentation related to HTCondor, particularly classad attributes and job submission. They also implemented new functionality within the Python bindings for DAGMan, including the ability to run jobs on hold and create a new file transfer plugin example. The user's work is evident in their modification of core files.
slurmdistributed-computingdistributed-systemshpchtcondor
VectorInstitute/kaleidoscope-sdk
Feb 2023 - Mar 2023
A user toolkit for analyzing and interfacing with Large Language Models (LLMs)
Contributions:9 releases, 14 reviews, 11 commits in 1 month
deep-learningdistributed-computinghpclarge-language-modelsllm
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