Jerónimo Irazábal
Software Engineer - Search at Weaviate
Argentina
Summary
🤩
Rockstar🎓
Top SchoolJerónimo Irazábal is a software engineer with 10+ years focused on distributed systems, databases and applied cryptography, currently working on search at Weaviate. He co-founded and architected immudb, an open-source immutability-first database in Go, and has deep hands-on experience hardening storage engines and WAL/LSMKV behaviors in projects like Weaviate. His background blends academic research—PhD work and publications, co-authoring a textbook—with industrial R&D at IBM where he contributed to Watson, Hyperledger Fabric, patents, and led global inventor guidance in blockchain. Comfortable moving between low-level systems and product-facing features, he brings both theoretical rigor and proven delivery of auditable, tamper-evident systems from prototype to production.
9 years of coding experience
13 years of employment as a software developer
Licenciado en Informática, Licenciado en Informática at UNLPLicenciado, Informática, Licenciado, Informática at Universidad Nacional de La Plata
Spanish, English
Github Skills (8)
vector-database10
go10
concurrency9
fileio9
file-operations9
filesystem9
data-storage9
replication8
Programming languages (8)
Github contributions (5)
weaviate/weaviate
Sep 2023 - Mar 2025
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:261 reviews, 221 PRs, 729 pushes in 1 year 6 months
Contributions summary:Jerónimo primarily contributed to the back-end functionality of the Weaviate vector database, focusing on improvements and bug fixes in core database components. Their work included adding features to write and recover from WAL files, incorporating fsync calls for segment writes, and refactoring code related to commit log parsing. The user also made several changes to the LSMKV storage engine, including implementing optimizations for RoaringSet and ensuring the correct state of memtables and segments during various operations such as compaction, data insertion and retrieval.
approximate-nearest-neighbor-searchsemantic-search-enginehnswfaultsimilarity-search
ibm-silvergate/netcomposer
Nov 2017 - May 2020
Hyperledger Fabric Network bootstrapping made simple for experimentation, development and testing
Contributions:1 release, 40 commits, 14 PRs in 2 years 6 months
hyperledgerbootstrappingfabricexperimentationhyperledger-fabric-network
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