Kyle Hundman
Senior Software Engineering Manager at WhatsApp
Chicago, Illinois, United States
Summary
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Rockstar🎓
Top SchoolKyle Hundman is a senior software engineering manager and data science leader with 12 years of experience building ML-driven systems across space, insurance, crypto, and messaging platforms. He led development of Telemanom, an LSTM-based spacecraft anomaly detector used on Mars missions and published at KDD, and has translated that research into large-scale production products and strategic programs. At NASA JPL he expanded data science into mission-critical domains and at American Family he scaled a 15-person team that delivered machine-learning products valued at over $50M. More recently he has driven ML engineering and management at WhatsApp, bringing research rigor to high-throughput production environments. He blends hands-on model and pipeline development with people leadership and cross-functional stakeholder engagement, and has a track record of turning advanced research (including deep web and bias-mitigation work) into operational impact. Based in Chicago, he pairs an MS in Analytics with deep domain experience spanning telemetry, anomaly detection, and revenue-impacting predictive systems.
12 years of coding experience
12 years of employment as a software developer
Coursework toward MS in Computer Science - Machine Learning, Coursework toward MS in Computer Science - Machine Learning at Georgia Institute of TechnologyBA, Business Management, Finance, BA, Business Management, Finance at Augustana CollegeMS in Analytics, MS in Analytics at Northwestern UniversityBusiness Management, Business Management at Villanova University
Github Skills (43)
anomaly-detection10
pdf10
keras10
lstm10
crf10
measurements9
dedicated9
time-series9
metadata9
deep-learning9
science9
tensorflow8
machine-learning8
lda8
similarity8
Programming languages (4)
Github contributions (5)
khundman/telemanom
Feb 2019 - Jul 2020
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
Contributions:14 commits, 14 PRs, 23 pushes in 1 year 5 months
laboratorymissionsmultivariate-time-seriestensorflowtime-series
khundman/marve
Jan 2017 - May 2019
For extracting measurements and related entities from text
Contributions:4 commits, 2 PRs, 5 pushes in 2 years 4 months
nlppythonldameasurementssimilarity
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