Caitlin Kuhlman
Machine Learning Engineer at Apple
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolCaitlin Kuhlman is a Machine Learning Engineer in Boston with 11 years of experience building tools that help people make meaningful decisions from data. Currently at Apple, she focuses on ML robustness, fairness, and bias mitigation for computer vision systems, grounded in a PhD that explored fairness, accountability, and the usability of ranking algorithms and interactive visual analytics. Her background bridges ML, HCI, and design—she holds a BFA and advanced degrees from Worcester Polytechnic Institute—bringing a rare mix of technical rigor and user-centered thinking. Past roles include applied research and data-for-good work at WPI, IBM, and MITRE, where she translated research into practical systems. She is especially interested in making algorithmic systems both auditable and usable, not just provably fair. Colleagues describe her work as combining deep research expertise with pragmatic engineering to reduce bias in real-world ML pipelines.
10 years of coding experience
6 years of employment as a software developer
Master’s Degree, Master’s Degree at Worcester Polytechnic InstituteMajor Certificate in Computer Science, Major Certificate in Computer Science at University of Massachusetts BostonBachelor of Fine Arts (BFA), Bachelor of Fine Arts (BFA) at Massachusetts College of Art
Github Skills (2)
factor2
mapreduce1
Programming languages (2)
Github contributions (5)
caitlinkuhlman/self_site
Jan 2016 - Feb 2020
Contributions:19 pushes, 1 branch in 4 years 1 month
caitlinkuhlman/bpdmtutorial
Aug 2017 - Feb 2019
Contributions:21 commits, 14 pushes, 2 branches in 1 year 6 months
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