Aaron Weldy
About Aaron Weldy
Aaron Weldy is a Software Engineer currently employed at Nuro, where he has worked since 2022. He holds a Bachelor of Engineering in Computer Science from the University of Michigan and has previous experience as an intern at Amazon and Nuro, as well as roles at the University of Michigan.
Work at Nuro
Aaron Weldy has been employed at Nuro as a Software Engineer since 2022. In this role, he has contributed to the development of a scalable gRPC microservices architecture using Python, which improved communication between internal services. He also implemented a user-friendly interface on Google Cloud Platform, enhancing automated CI/CD processes and cloud environment setups. Additionally, he worked on productionizing the backend of machine learning labeling infrastructure, which supports autonomy teams in managing large volumes of labeled data for model training.
Education and Expertise
Aaron Weldy studied Computer Science at the University of Michigan, where he earned a Bachelor of Engineering (BE) from 2018 to 2022. His education included a year at the UM-SJTU Joint Institute at Shanghai Jiao Tong University in 2019. His academic background provided him with a strong foundation in software engineering principles and practices, which he has applied in various roles throughout his career.
Background
Before joining Nuro, Aaron Weldy held several positions that contributed to his professional development. He worked as an Instructional Aide at the University of Michigan College of Engineering from 2020 to 2021. He also served as a Research Assistant at the University of Michigan from 2018 to 2019. His internship experiences include a Software Development Engineer Intern role at Amazon in 2020 and a Software Engineer Intern position at Nuro in 2021.
Achievements
During his internships, Aaron Weldy optimized low-level C++ streaming code to facilitate the streaming of multi-terabyte logs over the web. His contributions at Nuro included enhancing internal service communication and supporting machine learning teams with backend infrastructure for data management. These efforts reflect his ability to apply technical skills to real-world challenges in software engineering.