Experience

Duo Security

• United States
• Computer and Network Security
• 300 - 400 Employee

• Software Engineer

  • Jan 2023 - Present



Amazon

• United States
• Software Development
• 700 & Above Employee

• Software Engineer

  • Jun 2020 - Dec 2022

  Manages access to resources for global customers (Europe and Eastern & Western United States) providing secure access, designing system architectures, and maintaining current systems • Improved customer experience through a 20x improvement in screen refreshment rate using web- terminal based solution via proxy architecture • Coordinated design discussions resulting in 3 successful product launches • Coauthored proxy-based service architectures resulting in 2 successful built services • Captured key metrics of existing and prototyped services to track customer experiences resulting in creation of 2 new services and a change in team’s charter • Created dashboards for key operational metrics that became checkpoints in weekly team meetings Show less



University of Michigan

• United States
• Higher Education
• 700 & Above Employee

• Student

  • Sep 2016 - Jun 2020

• EECS 281 IA

  • Sep 2018 - Sep 2019

  • Assisting in the education of computer science students through the teaching of algorithms and data structures (in C++) in an effort to advance their knowledge and interest in the computer science career field• Adapting course material to facilitate increased understanding of course material through collaboration with students to identify misunderstandings and correct them utilizing well-developed examples• Collaborating with peers and instructors in construction of coursework through updating labs, projects, and exams to ensure a thorough knowledge base of elementary data structures and optimization of runtime complexities Show less



Leidos

• United States
• IT Services and IT Consulting
• 700 & Above Employee

• Software Engineer Intern

  • May 2019 - Aug 2019

  Wrote and optimized software to create synthetic data generation for machine learning applications. Created and expanded testing for synthetic data generation algorithm • Developed and optimized C++ code to generate synthetic aperture radar images to be used in deep learning applications for automatic target recognition • Optimized and implemented single instruction multiple data (SIMD) refactoring synthetic image generation in C++ • Generated Python tool for analysis of runtime and caching data to optimize SIMD functions • Tested case expansion in C++ using Google’s gtest suite Show less



Boyle Lab at University of Michigan

• Ann Arbor, MI

• Research Assistant

  • Sep 2016 - Apr 2017

  • Collaborated in a team to support the conversion of SEM algorithm from Perl to C++ to increase speed in which genomic sequence data can be processed to analyze disease impact upon DNA • Analyzed the organization of the of the algorithm to properly utilize object oriented programming to further improve the efficiency and expand usability of the SEM algorithm resulting in an 83% reduction in runtime • Collaborated in a team to support the conversion of SEM algorithm from Perl to C++ to increase speed in which genomic sequence data can be processed to analyze disease impact upon DNA • Analyzed the organization of the of the algorithm to properly utilize object oriented programming to further improve the efficiency and expand usability of the SEM algorithm resulting in an 83% reduction in runtime