Daniel Kasen
Ozgar at Ozgar.ai
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolDaniel Kasen is a seasoned System Reliability and DevOps engineer with 14 years of experience building and operating cloud-native infrastructure and observability platforms from Seattle. He’s led SRE and observability efforts at companies like Zulily and Grab, owning logging, metrics, tracing, and alerting stacks (notably Elasticsearch/ELK) while driving service ownership and operational maturity. At Redfin he bridged hardware-to-cloud operations, introducing centralized configuration and monitoring to improve uptime and developer access to logs. Now leading Ozgar.ai, he combines hands-on troubleshooting instincts with strategic engineering leadership to stabilize fast-moving products. Comfortable wearing “one of many hats,” he blends deep systems knowledge with a practical focus on reducing toil and improving reliability.
14 years of coding experience
11 years of employment as a software developer
B.S. Computer Science -- AI, B.S. Computer Science -- AI at University of Minnesota
English
Github Skills (11)
quantile4
meta-analysis4
bootstrapping3
machine-learning3
prefix3
radiation3
fuzzy-logic3
hydrodynamics2
python2
simulation2
numba1
Programming languages (1)
Github contributions (5)
dnkasen/pubsed
Oct 2014 - May 2021
Contributions:651 commits, 1 push in 6 years 8 months
dnkasen/Kasen_Kilonova_Models_2017
Oct 2017 - Jul 2018
Theoretical models of kilonova presented in Kasen et al, Nature, 2017
Contributions:3 commits, 6 pushes, 1 branch in 9 months
theoreticalnaturemachine-learning
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