Aryan Mann is a Member of Technical Staff at Cohere with a decade of software engineering experience focused on making large language models practical and production-ready. Previously at Unity he shipped AI and computer-vision features across game-related products, contributing to sim2real tooling like the Unity Perception test suite to ensure robust semantic segmentation and ground-truth pipelines. Comfortable across full-stack ML workflows and with hands-on experience in game dev and 3D systems, he bridges research prototypes and scalable engineering. Based in San Francisco, he combines internship-to-senior-track growth at Unity with production ML work at Cohere, bringing a pragmatic tester’s eye to reliability and validation in complex ML systems.
10 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Grinnell College
Perception toolkit for sim2real training and validation in Unity
Role in this project:
QA Engineer / Test Automation Engineer
Contributions:2 releases, 5 reviews, 56 commits in 4 months
Contributions summary:Aryan primarily focused on updating and maintaining the test suite within the repository. Their contributions involved adapting existing tests to accommodate changes in the simulation capture package and other updates. They modified and added new tests to ensure the project's integrity, particularly in the context of semantic segmentation and general ground truth functionality. The user also implemented a test for delaying iterations within the scenario testing framework.
Contributions:1 release, 6 pushes, 1 branch in 2 years 4 months
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