Philip Stutz
Founder at Justement GmbH
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolPhilip Stutz is a founder and software engineer with 15 years of experience specializing in knowledge modeling, information retrieval, and large-scale graph processing. He holds a CS degree from ETH Zurich and a summa cum laude PhD from the University of Zurich where he worked on distributed graph systems, and later contributed to Neo4j’s Cypher query engine and TCK test suites. As founder of justement.ch he builds research tools for Swiss lawyers that leverage highly connected public data, blending practical product work with deep academic expertise. He is fluent in Scala/Scala.js, enjoys experimenting with LLMs and prompt engineering, and focuses on grounding models with retrieved structured information. His background includes industry roles at Cotiviti and a Google internship on large-scale graph processing, reflecting a rare combination of research rigor and production-grade testing discipline.
15 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, summa cum laude, Doctor of Philosophy (Ph.D.), Computer Science, summa cum laude at University of ZurichMaster’s Degree, Computer Science, with distinction, Master’s Degree, Computer Science, with distinction at ETH Zürich
English, German, French
Github Skills (11)
neo4j10
graphdb10
databases10
cypher10
graph-database10
database10
test-automation10
scala10
junit8
javas8
java8
Programming languages (6)
Github contributions (5)
neo4j/neo4j
Jan 2018 - Mar 2018
Graphs for Everyone
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:20 commits, 1 PR in 2 months
Contributions summary:Philip primarily contributed to the project by implementing and refining acceptance tests and TCK (Technology Compatibility Kit) tests. They made changes to existing test suites, including Scala files and Java files related to Cypher query language features. Their work involved modifying test configurations, fixing variable names, and debugging conversion messages, indicating a focus on testing and verifying the core functionality of the graph database's query language.
neo4j-databasedirected-acyclic-graphnosqlgraphsdatabase
uzh/signal-collect-graphs
Mar 2011 - Nov 2014
Contributions:60 commits in 3 years 8 months
graph-datagraphparsing
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