Jeremy Schulman is a strategic technology leader with 12 years of experience who has repeatedly turned networking and infrastructure complexity into measurable business value, most recently shaping MLB’s Agentic AI and Generative AI strategy to boost institutional productivity. A pioneer of the Network Automation movement and author of the Junos PyEZ library, he blends deep hands-on engineering—Python-driven network automation and IaC—with executive-level commercial skills in 8- and 9-figure deals and vendor governance. At MLB he built agentic staff-augmentation solutions that recover SLA penalties and automate AP/AR workflows, and he led the creation of an AI residency to grow internal capability. Known for “bridging two worlds,” Jeremy pairs principled build-vs-buy analysis and InfoSec-aware governance with movement-building through open source and community evangelism.
Contributions:144 commits, 2 comments, 1 issue in 6 months
Contributions summary:Jeremy primarily contributed to the Python library for Junos automation, focusing on bug fixes and feature enhancements. They addressed issues within the `sw.py` file, improving system shutdown functionalities. The user also made updates to the `personality.py` file to recognize different Juniper device series such as T-series and PTX. Furthermore, they were involved in the release preparation and added new exception classes and connection error handling.
Contributions:5 releases, 84 PRs, 204 pushes in 11 months
python-libraryapipythonaosrest
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