Dustin Axman
Senior Machine Learning Engineer at Databricks
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolDustin Axman is a Senior Machine Learning Engineer in San Francisco with 11 years of experience building scalable, production ML systems that serve millions of users. He has a strong research foundation from Carnegie Mellon (PhD work) and a track record at Amazon improving ASR and multilingual models, shipping dozens of features to 100M+ users while reducing errors and deployment friction. More recently he engineered latency- and cost-optimized text segmentation and adaptive data-generation services at Chaser, enabling sub-200ms p99 inference at high throughput and rapid model behavior changes from just a few examples. Comfortable across signal processing, transformer-based modeling, and production architecture, Dustin combines deep theoretical work on time-series and weak supervision with pragmatic optimizations like quantization, distillation, and serverless prototypes. He is the sort of engineer who moves systems from lab demos to cost-effective, operational products while shrinking onboarding and deployment cycles.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Science (BS) Electrical and Electronics Engineering Applied Mathematics, Bachelor of Science (BS) Electrical and Electronics Engineering Applied Mathematics at University of RochesterDoctor of Philosophy - PhD (ABD) Electrical and Electronics Engineering, Doctor of Philosophy - PhD (ABD) Electrical and Electronics Engineering at Carnegie Mellon University
English
Github Skills (15)
pytorch10
machine-learning10
speech-recognition10
transformer10
nlp10
deep-learning10
tensorflow10
python10
natural-language-processing10
bert9
jax9
transformers9
language-model9
flax8
seq2seq8
Programming languages (1)
Github contributions (5)
connorwalsh/BSbot
Nov 2014 - Nov 2014
Contributions:8 commits in 11 days
dustinaxman/smash_rankings
Apr 2023 - Feb 2025
Contributions:3 pushes, 2 branches in 1 year 10 months
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