Kathryn Wicks
Software Engineer at Luminai
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolKathryn Wicks is a software engineer with 11 years of experience who builds robust systems at the intersection of machine learning, security, and data-driven product engineering. She holds BS and MEng degrees in Computer Science from MIT and has applied research-grade ML to real-world problems at MIT Lincoln Laboratory and CSAIL, modeling cyberattacks and improving anomaly detection for power grids. Kathryn has shipped production features and security tooling across startups and scale-ups—contributing to data privacy and classification workflows at Twitch, Cleanlab, Ramp, and currently Luminai—bringing both product sensibility and research rigor. Her background spans end-to-end stack work from DynamoDB-backed data models and web apps to TensorFlow NER pipelines and telemetry cleaning scripts. Notably, she pairs early hands-on experience (building software since freshman year of high school) with operator-informed realism, having interviewed grid operators to validate experiments. Based in San Francisco, she enjoys turning language and behavioral data into actionable systems that help people interact more safely and intelligently with their environments.
11 years of coding experience
3 years of employment as a software developer
Master of Engineering - MEng Computer Science, Master of Engineering - MEng Computer Science at Massachusetts Institute of TechnologyHigh School Diploma, High School Diploma at The Bronx High School of Science
Github Skills (19)
annotations9
outlier-detection9
structured-data9
computer-vision8
data-cleaning8
data-quality8
data-validation8
data-labeling7
data-profiling7
text-classification7
machine-learning7
natural-language-processing7
automl6
image-classification6
data-science6
Programming languages (2)
Github contributions (5)
kat-wicks/lvn-web
May 2019 - Oct 2019
Contributions:3 pushes, 2 branches in 5 months
kat-wicks/EC
Dec 2022 - Jan 2023
Collection of Evolutionary Computation Algorithms to use for Teaching
Contributions:1 PR, 2 pushes, 1 branch in 17 days
computationevolutionary-computationevolutionaryteaching
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