Justin Patera
Audiobook Narrator
Vero Beach, Florida, United States
Summary
👤
Senior🎓
Top SchoolJustin Patera is a Senior Computer Technician in Vero Beach, Florida with 15 years of hands-on experience supporting small-to-midsize businesses through repair, network buildouts, automation and documented IT solutions. He has moved between technician and programmer roles, delivering practical automation and bespoke software such as the control software for a white light scanning system and workflow visibility tools. At ACT COMPUTERS he combines field service expertise with systems-thinking to keep infrastructure reliable and maintainable for diverse clients. His open-source contributions include adding an ExponentialKernel and serialization support to the Shōgun machine-learning toolbox, showing comfort contributing to C++ ML libraries beyond day-to-day IT work. Justin’s background blends repair-level hardware skills with applied software development, making him effective at diagnosing problems across the stack. He’s known for pragmatic, well-documented solutions that scale from single workstations to SMB networks.
15 years of coding experience
6 years of employment as a software developer
Indian River State CollegeITT Technical Institute-Orlando
English, ruby, haskell
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (7)
machine-learning10
artificial-intelligence10
c-language10
cprogramming-language10
data-science9
cmake9
swig8
Programming languages (23)
Github contributions (5)
shogun-toolbox/shogun
Apr 2011 - Aug 2011
Shōgun
Role in this project:
Back-end Developer
Back-end DeveloperContributions:41 commits in 4 months
Contributions summary:Justin primarily contributed to the Shōgun machine-learning toolbox by implementing the ExponentialKernel. This involved creating the header and source files for the kernel, integrating it into the existing codebase, and adding necessary dependencies in various files. The user also focused on adding serialization capabilities for the distance measure within the ExponentialKernel. The work suggests a focus on expanding the library's functionality with new kernel methods.
cmakedata-sciencegunc-plus-plusmachine-learning
serialhex/Resume
Jul 2012 - Apr 2015
Contributions:21 commits, 12 pushes in 2 years 9 months
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