Nicholas Gigliotti
Senior Software Engineer at Torc Robotics
Greater Roanoke Area United States
Summary
👤
Senior🎓
Top SchoolNicholas Gigliotti is a Senior Software Engineer with five years of hands-on experience integrating hardware and software for autonomous systems, currently building health monitoring and diagnostics for Torc Robotics’ Level 4 self-driving truck. He began at Torc as a systems integration engineer, known for quickly debugging complex system faults and bringing software up on new hardware platforms, and previously applied cross-discipline systems work at Raytheon and DEKA. Trained in robotics engineering at Worcester Polytechnic Institute, he blends mechanical, electrical, and software perspectives and codes in C, C++, Java, and Python. Nicholas focuses on pragmatic, production-ready solutions for mobile robotics and diagnostics, pairing technical leadership with detailed system-level troubleshooting. He also brings process-improvement experience—automating regression testing against databases—and holds practical experience maintaining work under government clearance environments.
5 years of coding experience
6 years of employment as a software developer
High School Diploma, High School Diploma at Hudson High SchoolBachelor of Science Robotics Engineering, Bachelor of Science Robotics Engineering at Worcester Polytechnic InstituteHigh School Diploma, High School Diploma at Massachusetts Academy of Math and Science
English
Github Skills (29)
scrape10
scraper10
scrapy10
spider10
crawler10
data-acquisition10
data-science9
shopify9
pandas9
manipulation9
python9
data-analysis9
frame9
data-structures9
dataframes8
Programming languages (2)
Github contributions (5)
ndgigliotti/shopify-spy
Dec 2020 - Apr 2022
Extract structured data from Shopify websites.
Contributions:55 commits, 10 PRs, 54 pushes in 1 year 3 months
scrapeshopifycrawlerdatadata-acquisition
ndgigliotti/amazon-product-classifier
Aug 2021 - Nov 2021
Classifies products into Amazon's categories with 97% accuracy. Developed using tried-and-true machine learning methods and meticulous feature engineering.
Contributions:2 PRs, 79 pushes, 5 branches in 2 months
pythondata-scienceamazonmachine-learningengineering
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