Ken Celenza
Vice President Of Architecture at Network to Code
Fair Lawn, New Jersey, United States
Summary
🤩
Rockstar🎓
Top SchoolKen Celenza is a Vice President of Architecture with 11+ years in networking who transitioned from traditional network engineering to lead pragmatic network automation at Network to Code. He combines deep hands-on expertise in Python, Ansible, NAPALM and Flask with a focus on back-end integrations and data modeling, contributing to prominent open-source projects such as Nautobot, Ansible and Napalm. Ken’s work improves device parsing, API integrations and module functionality—helping teams turn messy device output into reliable, automatable data. Previously a network engineer at McKinsey and a U.S. Air Force SrA, he blends enterprise-scale operational experience with boutique-consulting agility. Based in Fair Lawn, NJ, he’s known for bridging networking and software engineering to lower operational cost and accelerate automation adoption.
11 years of coding experience
9 years of employment as a software developer
University of Maryland Global CampusMaster of Engineering (M.Eng.), Computer Engineering, Master of Engineering (M.Eng.), Computer Engineering at Stevens Institute of Technology
Github Skills (24)
unit-testing10
network-configuration10
parser10
python10
django10
cisco-ios10
networking10
regular-expression10
parsing10
parse10
ansible10
network-automation10
ansible-galaxy10
testing9
wpgraphql9
Programming languages (13)
Github contributions (5)
CiscoTestAutomation/genieparser
Jul 2020 - Mar 2021
sub-component of Genie that parse the device output into structured datastructure
Role in this project:
Backend Developer & Test Automation Engineer
Backend Developer & Test Automation EngineerContributions:19 reviews, 63 commits, 23 PRs in 8 months
Contributions summary:Ken's contributions centered around developing and testing parsers for network device output, specifically focusing on Cisco IOS XE devices. They implemented parsers to extract structured data from `show stackwise-virtual` command output and wrote unit tests for these parsers using the unittest framework, testing various scenarios and outputs. These contributions were targeted at the `genieparser` repository, which focuses on parsing network device outputs into a structured data format.
datastructurepythontest-automationtest-automation-frameworkstructured
napalm-automation/napalm
Dec 2016 - Mar 2022
Network Automation and Programmability Abstraction Layer with Multivendor support
Role in this project:Back-end Developer
Back-end DeveloperContributions:1 review, 59 commits, 14 PRs in 5 years 3 months
Contributions summary:Ken primarily focused on improving the `napalm-automation/napalm` repository by modifying the IOS driver code (`napalm_ios/ios.py`). Their contributions involved enhancing the parsing of LLDP details, including fixing regular expressions for better accuracy and handling different delimiters. They also updated the `get_interfaces` method to improve interface information retrieval, including speed format fixes, and addressed known issues, demonstrating a focus on refining network device interaction and data extraction. The user further enhanced the MAC address table getter for specific device types.
netmikoprogrammabilitypythonnetwork-automationnetbox
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