Vilius Pranckaitis
Principal Software Engineer at Palo Alto Networks
Klaipėda, Klaipeda County, Lithuania
Summary
🤩
Rockstar🎓
Top SchoolVilius Pranckaitis is a Principal Software Engineer with 11 years of experience building scalable backend and distributed storage systems, currently at Palo Alto Networks after leading distributed storage efforts at Chronosphere. Grounded in competitive programming, he excels at elegant algorithmic trade-offs and has applied that rigor to hard problems in time-series databases—contributing fixes and precision improvements to the prominent open-source M3 TSDB. His background includes designing large-scale search and content services at Canva and production-grade ad delivery systems at Adform, reflecting strong end-to-end ownership from APIs to infrastructure. A former competitive programming coach and mentor, he blends hands-on coding with teaching, which helps him simplify complex designs and improve team practices. Based in Klaipėda, Lithuania, he pairs academic foundations (MSc in Computer Science) with practical experience shipping reliable, high-performance systems.
11 years of coding experience
15 years of employment as a software developer
Master’s Degree Computer Science, Master’s Degree Computer Science at Kaunas University of TechnologyHigh School, High School at Klaipėdos „Ąžuolyno“ gimnazija
Github Skills (8)
query-engine10
aggregate10
aggregates10
aggregations10
go10
aggregate-functions10
promql10
metric8
Programming languages (5)
Github contributions (5)
m3db/m3
Oct 2020 - Jan 2022
M3 monorepo - Distributed TSDB, Aggregator and Query Engine, Prometheus Sidecar, Graphite Compatible, Metrics Platform
Role in this project:
Back-end Developer & Database Engineer
Back-end Developer & Database EngineerContributions:377 reviews, 102 commits, 189 PRs in 1 year 3 months
Contributions summary:Vilius's commits primarily focus on improving the M3 time-series database query engine, specifically addressing issues in aggregation functions like quantile() and variance/stddev. They implemented fixes to ensure arguments are correctly passed through aggregation functions and improved the precision of calculations for time series with equal values. Further contributions include adding new parser tests to cover more edge cases and fixing errors in the `/query` and `/query_range` endpoints to return accurate status codes.
distributedquerymonorepoquery-enginesidecar
vpranckaitis/plc
Feb 2015 - Oct 2020
WEB service using Google Places API and Elasticsearch database
Contributions:1 review, 1 PR, 3 pushes in 5 years 9 months
elasticsearch-databaseapiplaces-apigoogle-placesdatabase
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