Kristopher Larsen
Crisis Management at Netflix
California, United States
Summary
🤩
Rockstar🎓
Top SchoolKristopher Larsen is a crisis management and intelligence professional with 14 years of experience blending field-facing program work and technical back-end engineering for time-sensitive, global initiatives. He has supported high-stakes programs at the UN and Amazon—producing intelligence products, risk assessments, and cross-organizational white papers—while also contributing code and tests to major open-source time-series and benchmarking projects like OpenTSDB, Netflix Atlas, and YCSB. Comfortable coordinating multi-million-dollar program portfolios and supervising large consultant teams, he brings a rare combination of operational program management and hands-on data engineering expertise. Fluent in Spanish and experienced working with governments and IGOs, he translates complex, multi-stakeholder requirements into actionable plans and reliable technical solutions. Colleagues know him for meticulous attention to data integrity and pragmatic fixes that improve performance and testability in distributed systems.
14 years of coding experience
BA, International Relations and Affairs, BA, International Relations and Affairs at University of Colorado Boulder
English, Spanish
Github Skills (21)
asynchronous10
timeseries-database10
hbase10
benchmark10
anomaly-detection10
async10
testing10
benchmarking10
java10
scala10
javas10
junit10
database-design10
test-automation10
apidoc9
Programming languages (11)
Github contributions (5)
yahoo/egads
Oct 2016 - Dec 2021
A Java package to automatically detect anomalies in large scale time-series data
Role in this project:
Back-end Developer
Back-end DeveloperContributions:33 commits, 29 PRs, 36 pushes in 5 years 2 months
Contributions summary:Kristopher primarily contributed to the `yahoo/egads` repository by adding and modifying Java code, with a specific focus on time-series anomaly detection models. They added the `OlympicModel2` class, a calendar-based, period-over-period model designed to align timestamps and weight recent periods. Other contributions included fixing build issues related to Travis CI and updating logging implementations. Furthermore, the user addressed documentation and default configurations.
outlier-detectionanomaly-detection-modelsscalebig-dataseries-data
OpenTSDB/opentsdb
Mar 2013 - Dec 2022
A scalable, distributed Time Series Database.
Role in this project:Back-end Developer & Database Engineer
Back-end Developer & Database EngineerContributions:21 releases, 63 reviews, 2072 commits in 9 years 11 months
Contributions summary:Chris Larsen's commits primarily address issues related to improving the functionality and data integrity of the OpenTSDB project. They focus on fixing bugs related to the internal workings of the data ingestion and query mechanisms, including the handling of timestamp and value precision in database writes. Furthermore, his contributions demonstrate an understanding of database performance, by addressing table schema design and indexing. He has also refactored code to enhance performance.
scalabletime-series-databaseseries-databasetimeseries-databasedistributed-database
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