Joseph Redmon
Clearwater, Florida, United States
Summary
🤩
Rockstar🎓
Top SchoolJoseph Redmon is an experienced Infrastructure Manager with over two decades in IT and 16 years of hands-on leadership, currently overseeing networks, servers, security, and compliance at Proforma. He blends deep Microsoft-stack expertise (Active Directory, Office 365, Azure AD, Windows/SQL Server, Hyper-V) with ITIL-aligned change management to build resilient, auditable operations and high-performing support teams. Known for "getting in the trenches," he improves processes and training to boost efficiency and customer trust while managing vendor relationships, audits, and incident response. His background includes HIPAA and HITRUST work, diverse monitoring stacks (Nessus, PRTG, SolarWinds) and practical cloud backup use (AWS S3), and he has contributed low-level neural net layer implementations in a notable open-source CNN project (darknet). Based in Clearwater, FL, he focuses on pragmatic, measurable improvements and continuous team development to keep complex infrastructures secure and reliable.
16 years of coding experience
24 years of employment as a software developer
Bachelor's degree Business - Information Technology Management, Bachelor's degree Business - Information Technology Management at WGU IndianaBachelor of Science Computer/Information Technology Administration and Management, Bachelor of Science Computer/Information Technology Administration and Management at Western Governors UniversityAS Network Administration, AS Network Administration at Ivy Tech Community College
Github Skills (6)
neural-network10
machine-learning10
convolutional-neural-networks10
python10
c119
c179
Programming languages (9)
Github contributions (5)
pjreddie/darknet
Nov 2013 - Sep 2018
Convolutional Neural Networks
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:420 commits, 12 PRs, 250 pushes in 4 years 11 months
Contributions summary:Joseph's commits show development of layers that involve neural network architectures. The user implements the layers for convolutional neural networks and the functionality for forward pass, backpropogation, and update parameters for the layers. Other code modifications show testing and validation of the models.
convolutional-neural-networks
chris1201/JNet
Nov 2013 - Jan 2015
Contributions:80 commits in 1 year 2 months
deep-learningconvolutional-neural-networkconvolutionalneural-networktensorflow
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