Daniel Latta-lin
Member Of Technical Staff at OpenAI
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolDaniel Latta-lin is a systems-focused software engineer with about a decade of experience building operating systems, file systems, and distributed architectures. He is currently a Member of Technical Staff at OpenAI in San Francisco, applying deep low-level systems expertise to scalable AI infrastructure. Earlier at Rockset he built a Real-Time Analytics Platform, and at Nutanix he worked on Curator, Nutanix’s metadata backend for the Distributed Storage Fabric, overseeing background jobs for garbage collection, compression, deduplication, encryption, and snapshots. His early roles include storage-focused internships and teaching software engineering at the University of Michigan, reflecting a blend of hands-on engineering and mentorship. He earned an MS in Computer Science from the University of Washington (2020) and a BS in Computer Science Engineering with a Creative Writing minor from the University of Michigan. Based in the San Francisco Bay Area, he combines production-oriented delivery with curiosity-driven exploration of complex systems across OS, storage, and analytics.
10 years of coding experience
8 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of WashingtonBachelor's degree, Computer Science Engineering, Minor: Creative Writing, Bachelor's degree, Computer Science Engineering, Minor: Creative Writing at University of Michigan College of Engineering
Github Skills (78)
json-parser10
python10
mlops-workflow10
mmap10
serializer10
java10
serialization10
filesystem10
feature-store10
data-quality10
machine-learning10
extraction10
data-engineering9
javascript9
apache-tika9
Programming languages (4)
Github contributions (5)
danielin917/ceph-ansible
Jun 2016 - Aug 2016
Contributions:77 pushes, 11 branches in 2 months
playbooksansibleansible-playbooksceph
danielin917/rocksdb-cloud
Jul 2021 - Oct 2023
A library that provides an embeddable, persistent key-value store for fast storage optimized for AWS
Contributions:18 pushes, 3 branches in 2 years 3 months
nosql-databasefast-storagelsm-treeoptimizeddatabase
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