Thomas Aynaud
Chief Technology Officer at Software Heritage
Paris, Ile-de-France
Summary
🤩
Rockstar🎓
Top SchoolThomas Aynaud is a seasoned technology leader and CTO based in Paris with 15 years of experience building large-scale search, ML and data systems from research to production. He combines deep academic expertise in network/community detection (PhD-level) with hands-on engineering—leading web-scale search index efforts at Qwant, deploying multi-cluster Vespa systems, and running ML-driven ranking and document-understanding pipelines. A practical architect and people manager, he has run cross-functional teams, mentored ML domains, and owned CI/CD, monitoring and cost/tech roadmap decisions. An active open-source contributor to graph-analysis tooling, he has improved core modularity and Louvain community-detection implementations used by the Gephi and python-louvain projects, reflecting a focus on algorithmic correctness and reproducible QA. Quietly, his background in dynamic community research informs pragmatic production choices when designing scalable graph and NLP systems.
15 years of coding experience
13 years of employment as a software developer
Master Parisien de Recherche en Informatique, Informatique, Master Parisien de Recherche en Informatique, Informatique at Ecole Normale supérieure de CachanMathématiques, Physique, Mathématiques, Physique at Lycée ThiersDoctorat, Informatique, Doctorat, Informatique at Université Pierre et Marie Curie (Paris VI)
Stackoverflow
26reputation
131reached
1answer
0questions
Github Skills (10)
algorithm10
unit-testing10
graph10
javas10
algorithms10
networkx10
python10
java10
graphing10
test-automation9
Programming languages (10)
Github contributions (5)
taynaud/python-louvain
Mar 2011 - May 2020
Louvain Community Detection
Role in this project:
Backend Developer & QA Engineer
Backend Developer & QA EngineerContributions:30 commits, 26 PRs, 79 pushes in 9 years 3 months
Contributions summary:Thomas primarily contributed to the development of the `python-louvain` project, focusing on adding unit tests and improving the code's structure. Their work included implementing test cases for modularity calculations and the Louvain algorithm, demonstrating a focus on ensuring the correctness and reliability of the community detection functions. They also refactored the code, hiding utility functions and making minor changes for improved readability.
louvain-methodnetworkxlouvain-community-detectionlouvaincommunity-detection
gephi/gephi
Feb 2012 - Apr 2012
Gephi - The Open Graph Viz Platform
Role in this project:Back-end Developer
Back-end DeveloperContributions:8 commits in 2 months
Contributions summary:Thomas primarily contributed to the `Modularity` plugin, focusing on improving its functionality and accuracy. They added features for handling weights, corrected issues related to self-loops, and incorporated a resolution parameter. Additionally, they removed debugging output and fixed a bug related to detecting connections with weights close to zero. These changes demonstrate a focus on refining the modularity algorithm and improving its performance.
graph-analyticsopenglgraphinteractivegephi
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