Andrey Avtomonov
Co-Founder & CTO at Kaelio
Paris, Ile-de-France, United States
Summary
🤩
Rockstar🎓
Top SchoolI'm LLM BDR Andrey Avtomonov is a pragmatic software leader and serial CTO with a decade of experience building data-rich, production-grade systems for healthcare, enterprise AI, and finance. He co-founded Giskard AI, leading a team to create an open-source model testing library and enterprise Hub, and now builds analytics agents at Kaelio that unify clinical, operational, and financial data to drive actionable AI insights for hospitals and payers. His engineering roots span backend, DevOps and full-stack work—from introducing gRPC and Docker optimizations in notable open-source projects to delivering large-scale Java and big data platforms at Dataiku, Sberbank-Technology, and CERN. Comfortable bridging research, product, and operations, he’s shipped cross-functional features, managed distributed teams, and solved performance and deployment challenges at scale. A not-obvious strength: he combines deep systems engineering (PL/SQL, Spark, Cassandra) with hands-on ML/AI tooling experience, enabling practical, production-ready AI solutions.
10 years of coding experience
11 years of employment as a software developer
X25 batch, X25 batch at Y CombinatorMaster's degree Engineering, Master's degree Engineering at National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
English, Russian, French
Stackoverflow
1,311reputation
117kreached
14answers
28questions
Github Skills (18)
docker10
back-end-development10
dockers10
java10
javas10
backend10
devops10
grpc10
webservice9
soundmanager26
jax-rs6
google-chrome6
android6
angularjs6
weblogic6
Programming languages (13)
Github contributions (5)
Giskard-AI/giskard
Mar 2022 - Jan 2023
🐢 Open-Source Evaluation & Testing for AI & LLM systems
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:16 releases, 593 reviews, 1142 commits in 10 months
Contributions summary:Andrey's commits primarily focus on enhancing the Docker Compose setup and adding gRPC infrastructure to the backend Java application. These changes involve modifying Dockerfiles to optimize the build process, incorporating new libraries like gRPC for communication, and adding test functions for AI. Additionally, the user addressed build issues and contributed to demo notebook documentation, highlighting their role in improving the project's infrastructure and maintainability.
continuous-integrationtesting-toolsquality-assuranceml-validationmlops
dataiku/dss-plugin-ml-assisted-labeling
Oct 2019 - Jun 2021
Dataiku Labelling & Active Learning solution.
Contributions:2 releases, 39 reviews, 101 commits in 1 year 8 months
dataikuactive-learningdeep-learningmachine-learninglabelling
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