Daniel Darabos - Co-founder, CTO at LynxKite

Daniel Darabos

Co-founder, CTO at LynxKite

Budapest, Hungary

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Summary

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Rockstar

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Top School

Daniel Darabos is a pragmatic engineering leader and co-founder currently serving as CTO of LynxKite, where he builds an extensible GPU-backed data platform for drug discovery after a decade-plus focus on graph data science. With 13 years of professional experience and a Master's in Computer Science from BME, he has driven core back-end architecture and led small research teams to productionize graph ML and complex data dashboards. A hands-on coder who prefers shipping over perfection, he has contributed to high-profile open-source projects including Apache Spark (data integrity and runtime checks) and plotly.js (front-end label alignment fixes), reflecting fluency across Scala, Go, Python, and JS. Based in Budapest, he combines systems-level reliability experience from Google SRE work with startup grit, and outside work maintains creative outlets in music and drawing that inform his pragmatic, multidisciplinary approach.

13 years of coding experience

25 years of employment as a software developer

Master's degree, Computer Science, Master's degree, Computer Science at Budapest University of Technology and Economics

Stackoverflow

Stats

27,223reputation

2.8mreached

318answers

39questions

Badges

hadoop

top-1%

rdd

top-1%

pyspark

top-5%

scala

top-1%

top-5%

java

top-5%

Github Skills (35)

data-visualizations10

apache-spark10

javascript10

spark10

charts10

big-data10

data-visualisation10

hadoop10

chartjs10

java10

charting10

scala10

javas10

rdd10

data-visualization10

Programming languages (17)

JavaC++LeanCRustScalaGoHTML

Github contributions (5)

apache/spark

Jan 2015 - Jul 2024

Apache Spark - A unified analytics engine for large-scale data processing

Role in this project:

Back-end Developer

Contributions:9 PRs, 27 comments in 9 years 8 months

Contributions summary:Daniel primarily contributed to the Apache Spark project by addressing various issues and improving the codebase. Their work included fixing a data corruption issue in the `EdgePartition` and `EdgeTriplet` iterators, optimizing code, and adding runtime checks. They also worked on storing and displaying call stacks for stages on the UI, and corrected property names in the documentation. Additionally, the user fixed a serialization issue and added checks to prevent non-positive partition counts.

analyticspythondata-processingsqlapache

plotly/plotly.js

Feb 2018 - Apr 2018

Open-source JavaScript charting library behind Plotly and Dash

Role in this project:

Front-end Developer

Contributions:15 commits, 2 PRs, 5 comments in 1 month

Contributions summary:Daniel primarily focused on enhancing the charting library's front-end features, specifically the vertical alignment of multi-line labels within the Cartesian axes. Their contributions involved fixing alignment issues across various angles and sides, ensuring accurate line counts, and correcting edge cases. The commits show work on the core functionality of the library and the improvement of test coverage to ensure correctness.

chartsdashcharting-librarychartwebgl

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