Carter is a Founding Engineer at EqualParts with expertise in machine learning and robotics, holding a Masters from Carnegie Mellon University. Described by colleagues as a creative, enthusiastic, and quick learner, he excels in team-oriented environments and transforms complex projects into functional, modern solutions.
He has co-authored research on using unmanned aerial and ground vehicles for autonomous object geolocation in unstructured environments.
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Experience
8 Years
Current Role
Founding Engineer
Job Level
Middle
Location
Greater Pittsburgh Region, United States
Personality Overview
How Carter shows up
Believer
Big Picture Person
Relationship Oriented
They are naturally enthusiastic, so take their promise with a pinch of salt. They are not always early adopters but can be pursuaded by leveraging strong relationships. They excel at seeing the bigger picture, and the long-term impact of their decisions.
Priorities
Topics Carter cares about
Robotics & Perception
He has co-authored multiple publications on robotics, focusing on perception robustness and object geolocation using unmanned aerial and ground vehicles (UAVs/UGVs).
Applied Machine Learning
His career includes several roles as a Machine Learning Engineer and Data Scientist, applying these skills in both research and enterprise environments at companies like Fortive.
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Career
Work history
9-2025
Founding Engineer
Equal Parts
6-2023 - 8-2025
Research Engineer
Meta
10-2022 - 5-2023
Senior Machine Learning Engineer
Fortive
3-2021 - 5-2023
Data Scientist
Fortive
8-2019 - 3-2021
Machine Learning Engineer
National Robotics Engineering Center
In the press
Media appearances
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Influence (I) reflects the degree to which a person prefers to work by influencing or persuading others. Those scoring high tend to be people oriented, motivated by social recognition and building relationships.
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