Cate Lewison
AI Infra Engineer at Applied Computing Research Labs
Bellevue, Washington, United States
Summary
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Rockstar🎓
Top SchoolCate Lewison is an AI infrastructure engineer and Harvey Mudd CS student with three years of hands-on experience building reproducible, secure systems for ML and distributed environments. She has interned on an AGI grounding team at Amazon and improved LLM observability and safety at WhyLabs, where her work cut metric latency 4x and hardened prompt scoring against attacks. Currently she is designing a Kubernetes-focused training arena with SimKube to enable safe ML agent interaction and evaluation, gaining deep expertise in containerization, CI/CD, and constrained state/action spaces for tractable training. Past roles span serverless backend development, analytics dashboards, and applied research in energy storage and venture scouting, reflecting a mix of product execution and technical curiosity. Based in Bellevue, WA, she pairs rigorous academic foundations in math and CS with practical experience shipping infrastructure that bridges research and production.
3 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Mathematics and Computer Science, Junior, Bachelor of Science - BS, Mathematics and Computer Science, Junior at Harvey Mudd CollegeHigh School Diploma, High School Diploma at Lakeside School
Spanish
Github Skills (15)
logging9
data-quality9
dataops9
machine-learning8
data-science8
nlg8
analytics8
python8
data-pipeline7
prompt-injection7
mlops7
nlp6
prompt-engineering3
large-language-models3
observability2
Programming languages (2)
Github contributions (5)
catel22/IX-2023-HOMEWORK
May 2023 - Jul 2023
Contributions:17 pushes in 1 month
catel22/MarvelousMatrices
May 2023 - May 2023
Contributions:5 pushes, 1 branch in 1 day
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