Kelvin Mungai
Staff Engineer at Namely
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolKelvin Mungai is a Staff Engineer based in New York with 10 years of experience building reliable backend systems, DevOps automation, and networked applications. He combines hands-on expertise in Python, SQL, system and network administration with production experience in distributed tracing and instrumentation—contributing to the JVM-focused Kamon project by improving B3 propagation and making Jaeger endpoints configurable. At Namely he progressed from Senior Software Engineer to Staff Engineer, driving architecture and delivery since 2018 while also consulting across teams at Andela. His background includes practical DevOps work (Vagrant, Ansible) and telecom-rooted systems engineering from his Strathmore University degree in Telecommunication. Known for pragmatic solutions that bridge developer ergonomics and production fidelity, he often surfaces subtle observability improvements that reduce incident diagnosis time. He brings a mix of infrastructure discipline and backend craftsmanship to teams scaling SaaS platforms.
10 years of coding experience
4 years of employment as a software developer
Bachelor of science in telecommunication, Telecommunication, Bachelor of science in telecommunication, Telecommunication at Strathmore University
English, Swahili
Stackoverflow
804reputation
48kreached
14answers
2questions
Github Skills (19)
tracer10
distributed-tracing10
java10
scala10
javas10
kamon10
trace10
metric9
jaeger9
testing8
confluent-platform6
apache-kafka6
ruby-on-rails6
go6
unmarshalling6
Programming languages (9)
Github contributions (5)
kamon-io/Kamon
Apr 2020 - Oct 2020
Distributed Tracing, Metrics and Context Propagation for applications running on the JVM
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 commits, 3 PRs in 5 months
Contributions summary:Kelvin primarily contributed to the Kamon project by implementing and refining features related to distributed tracing and instrumentation. They added instrumentation for play-gRPC routers and updated the B3 sampling decision logic, which is crucial for tracing systems. Their work also involved adding tests for the B3 propagation with invalid debug flag values and making the Jaeger endpoint configurable, indicating their focus on improving tracing functionality and configuration flexibility.
propagationcontext-propagationkamontracingotel
klvmungai/Kamon
Apr 2020 - Oct 2020
Distributed Tracing, Metrics and Context Propagation for application running on the JVM
Contributions:2 pushes, 3 branches in 5 months
propagationcontext-propagationtracingjvmdistributed-tracing
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