Alexei Klenin is a seasoned Java-focused technical lead with 12 years of experience building scalable, serverless-ready platforms and enterprise systems from Paris. He currently leads development at Sapphire CMS, a headless, environment-agnostic CMS designed for edge and serverless deployments, and holds a concurrent technical lead role at Carrefour Banque & Assurance. His background spans backend-heavy roles across major French enterprises (Carrefour, PMU, Geopost) and earlier IoT and full-stack work, giving him strong systems and integration instincts. An active contributor to deeplearning4j/ND4J, he has improved model I/O and serialization paths, showing hands-on expertise in ML runtime and data pipelines on the JVM. Known for combining pragmatic delivery with architectural thinking, he often bridges legacy enterprise constraints and modern cloud-native patterns. Fluent in engineering leadership and low-level JVM work, he brings both team mentorship and code-first problem solving to complex production systems.
12 years of coding experience
6 years of employment as a software developer
Bachelor's Degree Computer Science, Bachelor's Degree Computer Science at IUT de Montpellier
Master's Degree Engineer of Software & Networks, Master's Degree Engineer of Software & Networks at ENSEEIHT
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...
Role in this project:
Back-end Developer
Contributions:8 commits, 7 PRs, 25 comments in 9 months
Contributions summary:Alexei primarily focused on enhancing the `deeplearning4j` library. Contributions included adding the capability to read models from InputStreams in the `WordVectorSerializer` class, improving data loading and serialization. Other changes involved fixing tests, modifying the `FastTextTest.java` file and addressing imports for ND4J tests. They also worked on a feature for the global Classload for ND4J and implemented improvements for ND4J.
Contributions:74 commits, 11 PRs, 130 pushes in 6 years 3 months
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