Laura Ham
Developer Advocate
Arnhem, Gelderland, Netherlands
Summary
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Rockstar🎓
Top SchoolLaura Ham is a Developer Advocate with 9 years of experience blending developer experience, ML product research, and community engineering around open-source systems. Based in Arnhem, she has driven adoption and documentation for Weaviate—a notable open-source vector database—contributing backend GraphQL schema tests and ensuring API integrity. Her background spans human-centered design, interaction technology, and applied data science, giving her a rare mix of product empathy and technical depth. Laura has moved between hands-on development, research roles, and developer advocacy at startups and labs, translating complex ML and semantic tooling into approachable developer experiences. Outside core roles she founded an HCI consultancy and has practical IoT and robotics experience, reflecting a long-standing focus on human–AI interaction.
9 years of coding experience
6 years of employment as a software developer
Double Master's degree Human Computer Interaction and Design, Double Master's degree Human Computer Interaction and Design at EIT Digital Master SchoolBachelor of Science - BSc Bachelor Artificial Intelligence + Honours College, Bachelor of Science - BSc Bachelor Artificial Intelligence + Honours College at Vrije Universiteit Amsterdam (VU Amsterdam)VWO Nature&Science Nature&Health, VWO Nature&Science Nature&Health at Kalsbeek CollegeMaster's degree Interaction Technology, Master's degree Interaction Technology at University of TwenteMaster's degree ICT Innovation, Master's degree ICT Innovation at Aalto UniversityMinor, Minor at University of Oslo
English, Dutch, Norwegian, French, German
Stackoverflow
129reputation
2kreached
5answers
1question
Github Skills (14)
weaviate10
graphql10
go10
go-testing10
wordpress-graphql10
wpgraphql10
testing10
graphql-schema9
huggingface-transformers6
ontology6
sparql6
owl6
gpu6
dbpedia6
Programming languages (9)
Github contributions (5)
weaviate/weaviate
Aug 2018 - Sep 2021
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:71 commits, 5 PRs, 50 pushes in 3 years 1 month
Contributions summary:Laura's commits primarily focus on adding and testing GraphQL schema structures within the Weaviate vector database. The contributions involve writing acceptance tests in Go to validate the correctness of the GraphQL schema, including the type definitions, root queries, and schema types. Further contributions include debugging and resolving merge conflicts within the GraphQL schema test files. The user's work ensures the integrity and accuracy of the GraphQL API implementation for Weaviate.
approximate-nearest-neighbor-searchsemantic-search-enginehnswfaultsimilarity-search
laura-ham/weaviate_pyclient
Jan 2018 - Nov 2019
Contributions:8 commits, 7 pushes, 1 branch in 1 year 9 months
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