Philip Hausner-nguyen is a Senior Software Engineer based in Heidelberg with 10 years of experience building research-driven and production-ready software across AUTOSAR, cloud, and AI domains. At VECTOR Informatik he has blended automotive systems work (Kotlin/Java, ANTLR) with experiments in graph neural networks and LLM-focused tooling, bridging embedded standards and modern ML. Previously he accelerated an AWS image-processing pipeline by over 90% and led integration of a large-scale MongoDB search platform using Python and Go. His research background at Heidelberg University produced conference publications on dark pattern detection and honed skills in information management, web extraction, and teaching. Comfortable moving between low-level C++ visualization work and high-level ML prototypes, he’s adept at turning academic insights into pragmatic engineering. A subtle strength is his recurring role as a translator between research ideas and industrial implementation, especially where AI meets safety-critical automotive software.
10 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Applied Computer Science, Master of Science - MS, Applied Computer Science at Heidelberg University
Computer Science, Computer Science at Kyoto University
Bachelor of Science - BS, Biotechnology, Bachelor of Science - BS, Biotechnology at Hochschule Mannheim
A Python wrapper for the temporal tagger HeidelTime.
Contributions:9 reviews, 18 commits, 1 PR in 2 years 10 months
pythonpython-wrappertemporalheideltimetagger
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Philip Hausner-nguyen - Senior Software Engineer at VECTOR Informatik