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@lynxkite.com
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Daniel Darabos is listed as Chief Software Architect at LynxKite at LynxKite, a company with 2 employees, based in Budapest, Budapest, Hungary. AeroLeads shows a work email signal at lynxkite.com and a matched LinkedIn profile for Daniel Darabos.
Daniel Darabos previously worked as Co-founder, Chief Software Architect at Lynxkite and Senior Software Engineer at Lynx Analytics. Daniel Darabos holds Master'S Degree, Computer Science from Technical University Of Budapest.
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AeroLeads found 1 current-domain work email signal for Daniel Darabos. Compare company email patterns before reaching out.
I like to do a bit of everything. Programming, writing, playing music, drawing, running. I am not very good at anything except maybe programming.
Listed skills include Python, Programming, Go, Java, and 13 others.
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Hungary
LynxKite is an open-source graph data science platform written in Scala and Go.I have been a part of LynxKite's engineering team from the start. Now that LynxKite is becoming its own entity, I'm leading the engineering effort.
The story so far:- Main contributor (by lines of code) of LynxKite, a network analytics application.- Led small research team on graph machine learning and optimization.- Leading engineering team on a complex data science dashboard project.
Budapest
OpenOffice.org related development.
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Daniel Darabos works for LynxKite.
Daniel Darabos is listed as Chief Software Architect at LynxKite at LynxKite.
AeroLeads has found 1 work email signal at @lynxkite.com for Daniel Darabos at LynxKite.
Daniel Darabos is based in Budapest, Budapest, Hungary while working with LynxKite.
Daniel Darabos has worked for Lynxkite, Lynx Analytics, Google, and Multiracio.
You can use AeroLeads to view verified contact signals for Daniel Darabos at LynxKite, including work email, phone, and LinkedIn data when available.
Daniel Darabos holds Master'S Degree, Computer Science from Technical University Of Budapest.
Daniel Darabos is listed with skills including Python, Programming, Go, Java, Scala, Software Development, Shell, and Machine Learning.
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