Dimitar Dimitrov
Software Engineer at Spiral
London, England, United Kingdom
Summary
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Rockstar🎓
Top SchoolDimitar Dimitrov is a software engineer based in London with nine years of experience building and optimizing back-end systems, currently working at Spiral after a multi-role tenure at Grafana Labs. He has deep expertise in performance engineering and distributed time-series systems, demonstrated by contributions to Prometheus where he simplified rule evaluation logic, fixed query race conditions, and tuned logging to improve Mimir compaction performance. Comfortable across startups and scale-ups, Dimitar has progressed from graduate roles to staff-level responsibilities, combining hands-on coding with system-level thinking. A University of Manchester computer science graduate, he is driven by continuous learning and seeks challenging problems that reward clarity and efficiency in large-scale systems.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at The University of ManchesterHigh School Diploma, High School Diploma at American College of Sofia
Stackoverflow
714reputation
107kreached
3answers
1question
Github Skills (23)
timeseries-database10
monitoring10
performance-monitor10
performance-analytics10
performance-measurement10
go10
performance-analysis10
prometheus10
optimisation10
performance-tuning10
performance-monitoring10
optimization10
alerts9
alertview9
alertdialog9
Programming languages (10)
Github contributions (5)
prometheus/prometheus
Nov 2021 - Mar 2025
The Prometheus monitoring system and time series database.
Role in this project:
Back-end Developer & Performance Engineer
Back-end Developer & Performance EngineerContributions:11 reviews, 13 PRs, 32 comments in 3 years 4 months
Contributions summary:Dimitar contributed to the Prometheus monitoring system by focusing on performance and optimization of the time series database and query engine. Their work involved simplifying complex calculations within the rule evaluation engine, adding detailed comments to clarify the logic, and addressing race conditions in the query execution path. They also reduced debug logging to improve performance, specifically around Mimir compactions, demonstrating a strong understanding of system performance and optimization techniques within the Prometheus ecosystem.
time-series-databaseprometheus-exporterseries-databasealertingdatabase
dimitarvdimitrov/sporkfs
Sep 2019 - Sep 2022
Distributed file system in Go
Contributions:95 pushes, 32 branches, 5 issues in 2 years 11 months
golangconsistent-hashingdistributed-computingfilesystemfile-watcher
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