Ran Zmigrod
Machine Learning Researcher at Apple
Cambridge, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolRan Zmigrod is a Machine Learning Researcher with nine years of experience at the intersection of NLP, large language model systems, and multi-agent system design, currently working at Apple. He holds an MEng and is pursuing a PhD in Computer Science from the University of Cambridge, combining deep academic rigor with industry research applied at Apple and JPMorgan Chase. Ran’s background includes multiple research internships and production-adjacent roles that show a pattern of moving research into real-world AI products and systems. Based in Cambridge, he brings expertise in architecting collaborative agent behaviors and scaling LLM-driven workflows, with a track record of cross-disciplinary collaboration between academia and large tech. An understated strength is his consistent return to Apple across internships and a full-time role, suggesting strong domain fit and sustained impact.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of CambridgeHigh School International Baccalaureate, High School International Baccalaureate at International School of Amsterdam
Github Skills (13)
decoding8
phonetics7
parsing7
acl7
dependency-parsing7
computational-linguistics6
natural-language-processing5
api5
nlp2
geometric-deep-learning1
pytorch1
deep-learning1
gnn1
Programming languages (1)
Github contributions (5)
CB17Echo/DroneSafetyApi
Feb 2017 - Mar 2017
Contributions:60 commits, 20 PRs, 57 pushes in 18 days
apihazardsdronefront-endsafety
rycolab/spanningtrees
Sep 2020 - Dec 2022
Code Repository for "Please Mind the Root: Decoding Arborescences for Dependency Parsing" and "On Finding the K-best Non-projective Dependency Trees"
Contributions:10 commits, 1 PR, 12 pushes in 2 years 3 months
decodingfindingdependency-treesparsingcode-repository
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