Philipp Binder
Associate Product Owner
Munich, Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolPhilipp Binder is an Associate Product Owner based in Munich with 12 years of professional experience bridging industrial engineering, software development, and cyber security. Trained at KIT and TUM with an international semester at Linköping, he blends technical depth in information systems and hands-on development experience—from Java/Spring apps and mobile AR to AI services—with product-focused delivery. His background includes roles at CHECK24, BMW Group, PwC, and research work creating an AR app for a UNESCO media arts project, demonstrating a knack for applying emerging tech to real-world use cases. He has taught deep learning and advanced Java courses, evidencing an ability to translate complex technical concepts for diverse audiences. Curious and pragmatic, Philipp pairs consulting-grade security awareness with a product mindset to drive secure, user-centered solutions. Unexpectedly, his CV shows a consistent thread of tutoring and teaching alongside industry roles, highlighting strong communication and mentorship instincts.
12 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS Industrial Engineering & Management, Bachelor of Science - BS Industrial Engineering & Management at Karlsruhe Institute of Technology (KIT)Information Systems, Information Systems at Technical University of MunichA-Levels, A-Levels at Albertus-Magnus-Gymnasium StuttgartSemester Abroad, Semester Abroad at Linköping University
English, French, German
Github Skills (13)
causal10
causal-inference9
causal-discovery9
causality9
graph9
time-series8
discovery8
statistics8
translation8
python8
java7
modeling5
uml5
Programming languages (2)
Github contributions (5)
PhilippFaller/philippfaller.github.io
Apr 2023 - Sep 2024
Contributions:4 pushes in 1 year 5 months
PhilippFaller/tree-regularization-public
Feb 2019 - Jun 2019
Code for AAAI 2018 accepted paper: "Beyond Sparsity: Tree Regularization of Deep Models for Interpretability"
Contributions:3 pushes in 4 months
pytorchinterpretabilitydeep-learningsparsityaaai
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