Faraz Maschhur
Student Assistant at Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI)
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolFaraz Maschhur is an early-career machine learning researcher and software engineer based in Berlin with nine years of practical experience spanning web development and academic research. Currently a student assistant at DFKI Lab Berlin and a Master's candidate in Informatics at TU Berlin, he has combined hands-on ML work in university projects (DaSKITA) with part-time roles that ranged from Ruby on Rails and Shopify development to tutoring in English. He presents research internationally, showing an ability to communicate technical ideas beyond the lab, and he leverages his production development background to bridge research prototypes and deployable systems. Comfortable across the full stack, Faraz brings a pragmatic, research-informed approach to building ML solutions and an eagerness to translate learning algorithms into real-world applications.
8 years of coding experience
Master of Science - MS, Informatics, Master of Science - MS, Informatics at Technische Universität Berlin
Github Skills (13)
latex8
rainbow7
nbviewer7
tilt7
bibtex6
typesetting6
policies6
data-format6
biblatex4
privacy3
pytorch3
dqn3
reinforcement-learning3
Programming languages (3)
Github contributions (5)
DaSKITA/tilter
Jul 2021 - Jan 2023
Annotation Tool TILTer for the annotation and conversion of privacy policies into the TILT data format
Contributions:2 reviews, 15 commits, 4 PRs in 1 year 6 months
privacydata-formattiltpoliciesannotation-tool
wuxmax/dtcm
Jul 2021 - Sep 2021
Contributions:3 pushes in 2 months
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