Neil Nelson is an experienced IT technician with nearly two decades in the industry and a decade of hands-on professional experience supporting diverse enterprise and data-center environments. Based in Las Vegas, he brings practical expertise across Windows server and desktop administration, networking, backup and virtualization technologies, and has operated in roles from systems administration to airport IT operations. A Microsoft Certified Professional and A+ certified, Neil pairs strong customer-service instincts with a habit of learning on every project, which has driven continuous improvements in troubleshooting and process documentation. He also contributes to open-source tooling—having refactored core logic and added speech and audio capabilities to a cross-platform virtual assistant—underscoring a willingness to dive into back-end engineering challenges. Outside work he volunteers with the Humane Society and Salvation Army and pursues art and culinary interests, reflecting a community-minded, creative problem solver.
10 years of coding experience
6 years of employment as a software developer
General Education, General Education, General Education, General Education at Boulder City High School
Associate of Applied Science, Information Technology, Undergraduate, Associate of Applied Science, Information Technology, Undergraduate at Ivy Tech Community College
High School Diploma, General Education, High School Diploma, General Education at La Mirada High School
Microsoft Certifications, Information Technology, Microsoft Certifications, Information Technology at Microsoft
Advertising and Design, Advertising and Design at Cypress College
A lovely virtual assistant for OS X, Windows and Linux systems.
Role in this project:
Back-end Developer
Contributions:7 commits, 10 PRs, 37 comments in 1 month
Contributions summary:Neil primarily contributed to the core logic of the virtual assistant, `Melissa`, by modifying the `brain.py` and `main.py` files. Their work involved cleaning, redesigning, and refactoring the codebase, specifically within the `brain` function which processes user input. The user also added sox capability for music playback and implemented the PocketSphinx speech-to-text (STT) model, suggesting improvements to the underlying audio processing pipeline.
Contributions:56 commits, 55 pushes, 1 branch in 10 days
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Neil Nelson - IT Technician at McCarran International Airport