Aleksandr Mokrov
Deep Learning Software Engineer at Intel Corporation
Munich, Bavaria, Germany
Summary
🤩
Rockstar🎓
Top SchoolAleksandr Mokrov is a Deep Learning Software Engineer based in Munich with five years of focused experience building production-ready ML and distributed systems at Intel and earlier engineering roles. He brings strong backend and DevOps skills to federated learning—contributing to the well-known OpenFL framework by improving director logging, TensorBoard metrics, TLS/certificate handling, and gRPC transport stability. His background spans software verification to senior engineering positions, giving him a pragmatic, quality-first approach to complex systems and secure communications. Comfortable working across codebases and infrastructure, he often tackles subtle reliability and observability gaps that surface only at scale. Fluent in both research-adjacent ML tooling and enterprise-grade engineering, he pairs hands-on implementation with long-term maintainability.
5 years of coding experience
8 years of employment as a software developer
Специалист, Моделирование информационных систем и ресурсов, Специалист, Моделирование информационных систем и ресурсов at Нижегородский Государственный Университет им. Н.И. Лобачевского (ННГУ)
Английский
Github Skills (10)
federated-learning10
python10
grpc10
sslv39
logging9
ssl9
tensorboard9
ss9
docker8
dockers8
Programming languages (3)
Github contributions (5)
securefederatedai/openfl
Jul 2021 - Jan 2023
An Open Framework for Federated Learning.
Role in this project:
Backend & DevOps Engineer
Backend & DevOps EngineerContributions:292 reviews, 34 commits, 30 PRs in 1 year 5 months
Contributions summary:Aleksandr primarily focused on enhancing the OpenFL director's functionality by adding new logging levels and writing metrics for tensorboard. They refactored the codebase, integrated tensorboardX, and addressed code quality issues. Furthermore, the user made changes related to the director's transport layer, specifically regarding TLS configurations and certificate handling, and the envoy's health check implementation. These changes involved the underlying gRPC server and client.
federated-analyticspythonsecure-computationfedavgfedopt
aleksandr-mokrov/openfl
May 2021 - Feb 2023
An open framework for Federated Learning.
Contributions:2 reviews, 21 PRs, 212 pushes in 1 year 9 months
federated-learningmachine-learningfederated
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