Carlo Mutuc
About Carlo Mutuc
Carlo Mutuc is a Software Engineer at Endava in Charlotte, North Carolina, with a background in both software and mechanical engineering.
Current Position at Endava
Carlo Mutuc currently holds the position of Software Engineer at Endava, located in Charlotte, North Carolina, United States. In his role, he is involved in developing and optimizing software solutions, contributing to various projects, and collaborating with colleagues to meet client needs and expectations. Carlo's background and expertise in software development make him a valuable asset to the Endava team.
Previous Role at SolarWinds
Before joining Endava, Carlo Mutuc was an Associate Software Engineer at SolarWinds, where he worked for one year from 2021 to 2022. During his tenure at SolarWinds, Carlo participated in various software development projects, gaining crucial experience in different aspects of software engineering. His role at SolarWinds helped him further develop his technical skills and prepared him for future professional challenges.
Education and Academic Background
Carlo Mutuc earned his Master of Science in Computer Science from Northeastern University, where he studied from 2018 to 2021. Prior to this, he completed his Bachelor of Science in Mechanical Engineering at the University of South Carolina-Columbia, where he studied from 2013 to 2017. His diverse educational background has provided him with a strong foundation in both computer science and mechanical engineering, which he applies to his professional work.
Development of Internal Software Tool at SentryOne
During his internship at SentryOne, Carlo Mutuc developed a software tool that significantly improved internal data processing efficiency by 20%. This achievement highlights his ability to create effective software solutions that enhance operational performance. Carlo's work in this internship helped streamline processes and demonstrated his strong problem-solving skills.
Contributions to Research and Mentorship
Carlo Mutuc has made contributions to research in the field of machine learning applications in mechanical engineering during his time at the University of South Carolina. Additionally, he has volunteered as a mentor for undergraduate students in the Computer Science department at Northeastern University, providing guidance and support to future professionals in the field. His involvement in research and mentorship underscores his dedication to advancing knowledge and supporting others in their academic and professional journeys.