David Hall
Member Of Technical Staff at Open Athena
Berkeley, California, United States
Summary
🤩
Rockstar🎓
Top SchoolDavid Hall is a Member of Technical Staff and research engineering lead with 18 years of experience building infrastructure for training and scaling foundation models, currently leading Marin at OpenAthena and co-creating Marin and the JAX-based Levanter framework at Stanford CRFM. A co-founder of Semantic Machines (acquired by Microsoft), he helped turn conversational program synthesis into shipped product features at Microsoft and led efforts to integrate PyTorch into JVM systems via the Scorch library. His early work includes Breeze, a JVM linear algebra library that powers parts of Apache Spark MLlib and has seen production use at Netflix and OpenTable, and contributions to JAX improving TPU robustness. He holds a PhD in Computer Science from UC Berkeley (Google PhD Fellow, EMNLP Best Paper) and has published across NLP and historical linguistics while also leading award-winning applied AI teams. Known for blending deep research rigor with production engineering, he’s comfortable moving between low-level numerical libraries and large-scale model tooling. Based in Berkeley, he combines startup founding experience, enterprise productization at Microsoft, and hands-on open-source contributions to accelerate ML research into production.
18 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at University of California, BerkeleyBS/MS Symbolic Systems, BS/MS Symbolic Systems at Stanford University
English
Github Skills (9)
jax10
python10
tpu10
machine-learning9
debug8
error-handling8
debugging8
cloud-services7
cloud-infrastructure7
Programming languages (9)
Github contributions (5)
jax-ml/jax
May 2022 - May 2022
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Role in this project:
ML Engineer
ML EngineerContributions:4 reviews, 1 commit, 5 PRs in 1 day
Contributions summary:David primarily addressed issues related to JAX's functionality and integration with TPU. Their contributions involved fixing f-string formatting errors, setting tensorstore settings to improve serialization robustness on TPUs, and reverting some of these changes before reintroducing them. Further, the user improved the error message for a specific kernel. The commits suggest a focus on debugging and ensuring the stability and proper operation of the JAX library, particularly on TPU hardware.
pytorchpythonjitautomatic-differentiationgpu
dlwh/sbt-jflex
Jul 2012 - Aug 2020
JFlex plugin for sbt 0.13.x and 1.0
Contributions:9 commits, 2 PRs, 5 pushes in 8 years 2 months
loadtestingsbt-pluginscalasbtjflex
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