Martín Rezk
Senior Ontologist At Google
New York, New York, United States
Summary
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Senior🎓
Top SchoolMartín Rezk is a Senior Ontologist at Google with 13 years of experience bridging knowledge representation, NLP and production ML systems focused on LLMs, RAG, and semantic quality. He holds a PhD in Computer Science and has a research background in OBDA and KRR, with postdoctoral and visiting roles across Europe, Korea, and the US that connect academic rigor to product-scale problems. Before Google he led data-science efforts at Rakuten and DMM.com in market segmentation and semantic information extraction, and contributed backend fixes to the widely used Ontop platform for mapping relational data to RDF/ SPARQL queries. Based in New York, Martín combines deep formal expertise (transaction logic, ontology-based access) with hands-on engineering to improve retrieval and reasoning in large-scale language and knowledge systems. An inquisitive collaborator, he often surfaces subtle correctness issues in query processing that improve downstream semantic reliability.
12 years of coding experience
5 years of employment as a software developer
master, computer science, master, computer science at Universidad Nacional de CórdobaDoctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Free University of Bozen - Bolzano
English, Spanish, Italian
Github Skills (9)
obd-ii10
javas10
sparql10
java10
datalog9
query-optimization9
algorithms8
algorithm8
knowledge-graph7
Programming languages (4)
Github contributions (5)
ontop/ontop
Jun 2013 - Jul 2015
Ontop is a platform to query relational databases as Virtual RDF Knowledge Graphs using SPARQL
Role in this project:
Back-end Developer
Back-end DeveloperContributions:202 commits, 18 pushes, 3 branches in 2 years 1 month
Contributions summary:Martín made modifications to the core logic of the OnTop platform, specifically focusing on the partial evaluation of SPARQL queries involving LeftJoin operations. This involved altering the computation to support empty evaluation of the second argument and incorporating additional test cases to address issues arising within the query processing framework. The changes also addressed a wrong answer that surfaced during testing in the ILOG component, which points to a bug fix.
knowledge-graphsemantic-webknowledge-graphsrelational-databasesrelational
martinrezk/martinrezk.github.io
Jul 2016 - Nov 2020
Contributions:77 pushes, 1 branch in 4 years 4 months
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