• Software Engineer on the AI Applications and Data Analytics Team

• Engineered text prompts for extracting networking details from historical documents to speed up AI workflows

• Developed AI tools including spatial clustering for backtrace logs and code coverage workflows for overlapping

configurations

• Created and normalized datasets for core networking expert model by scraping company resources and Q/A

pages

• Analyzed Change-Based-Regression Model output to identify deficiencies in recommendations and bias/variance

• Convenience - Created a backend feature for customers to see a CSV file for all purchases made on the platform

• Authentication – Developed a customary package (pkg) to helped verify various checks such as location and credit card information

• Scrum Knowledgeable- Worked in a high-paced Agile work environment and developed engineering leadership skills

• Efficiency- Created a Graphical User Interface (GUI) tool in Python to help engineers test, record, and parse flight scans to accurately record data during test flights saving approximately hundreds of hours for field engineers

• Enhancement- Enhanced three codebases in C and C++ by cleaning up unused code while adhering to new protocols implemented by the company