Julianne Knott
Software Engineer at Microsoft
Bellevue, Washington, United States
Summary
👤
Senior🎓
Top SchoolJulianne Knott is a software engineer based in Bellevue, WA with a decade of experience and a focused four-year practice in machine learning and deep learning infrastructure. Currently at Microsoft, she works on optimization and productionization efforts for Bing’s deep learning stack, blending research sensibilities from prior academic and clinical research internships with hands-on systems engineering. Her background includes quantitative internship experience at Optiver and early-career software roles that honed performance and reliability skills. A Princeton computer science graduate, she brings a pragmatic approach to turning ML models into scalable, production-ready systems and a habit of bridging experimental research with engineering constraints.
10 years of coding experience
Bachelors of Science and Engineering In Computer Science, Computer Science, Bachelors of Science and Engineering In Computer Science, Computer Science at Princeton University
Github Skills (28)
text-generation10
summarization10
translation10
pdf10
korean-nlp10
huggingface-transformers10
sequence10
arxiv10
python9
machine-learning9
natural-language-processing9
gpu9
deep-learning9
nlp9
bert8
Programming languages (1)
Github contributions (5)
microsoft/fastseq
Oct 2021 - Aug 2022
An efficient implementation of the popular sequence models for text generation, summarization, and translation tasks. https://arxiv.org/pdf/2106.04718.pdf
Contributions:34 reviews, 142 commits, 16 PRs in 9 months
nlpsequencearxivpdfbert
JulianneKnott/FasterTransformer
Jul 2022 - Sep 2022
Transformer related optimization, including BERT, GPT
Contributions:9 pushes, 2 branches in 2 months
pytorchnlptransformersbertoptimization
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