Anna Shors
Deep Learning Algorithm Engineer at NVIDIA
San Francisco, California, United States
Summary
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Rockstar🎓
Top SchoolAnna Shors is a Deep Learning Algorithm Engineer at NVIDIA with five years of experience bridging pure mathematics and applied machine learning. With dual training in mathematics (University of Rochester) and data science (Stanford), she has contributed to research on variational EM for social networks, L2 regularization variants for NLP, and sum-product estimates in finite fields. Proficient in Python, R, and Java, she has taught data analysis in R and translated theoretical insights into practical deep learning solutions, particularly in named entity recognition. Based in San Francisco, she enjoys tackling combinatorics-flavored ML problems and brings a problem-solver's curiosity—honed by math competitions and Rubik’s cubes—to engineering research and production-grade algorithm development.
5 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at University of RochesterMaster's degree, Data Science, Master's degree, Data Science at Stanford University
Github Skills (45)
transformers10
pytorch10
machine-translation10
llama10
text-to-speech10
speech-synthesis10
inference10
multimodal10
large-language-models10
automatic-speech-recognition10
amd10
llm10
transformer-models10
openai10
speech10
Programming languages (2)
Github contributions (5)
nvjax-svc-0/praxis
Sep 2023 - Dec 2024
Contributions:3 reviews, 5 PRs, 14 pushes in 1 year 3 months
nvjax-svc-0/flax
Sep 2023 - Mar 2025
Flax is a neural network library for JAX that is designed for flexibility.
Contributions:1 review, 13 pushes, 10 branches in 1 year 5 months
jaxneural-network
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