Evgeny Antyshev is a senior software engineer with 11 years of experience building scalable backend systems, distributed workflows, and AI-augmented developer tools. He excels at translating product ideas into reliable, high-throughput services using microservices, Temporal.io orchestration, and cloud-native tooling on GCP and Kubernetes. His background spans data-intensive work at Wallarm, large-scale ride-sharing systems at Yandex.Taxi, and developer-focused projects like the Apache Beam "tour-of-beam" backend. Pragmatic about observability and resilience, he drives technical ownership from design through deployment while mentoring teams and improving CI/CD. Evgeny also integrates applied AI into production flows—shipping LLM integrations and GenAI tools for developer productivity. Based in Vicente López, Buenos Aires, he combines a physics-trained analytical mindset with a strong track record in open-source and high-load production systems.
11 years of coding experience
18 years of employment as a software developer
Master's degree, Elementary Particle Physics, Master's degree, Elementary Particle Physics at Moscow Institute of Physics and Technology (State University) (MIPT)
Apache Beam is a unified programming model for Batch and Streaming data processing.
Role in this project:
Back-end Developer
Contributions:101 reviews, 34 commits, 33 PRs in 4 months
Contributions summary:Evgeny contributed extensively to the backend of the Apache Beam project, with a focus on the "tour-of-beam" backend. Their work involved bootstrapping the backend, including the implementation of data storage using Google Cloud Datastore. They were responsible for modifying existing code and creating new files to enable features related to learning modules, units, and group nodes. Furthermore, the user played a role in integrating the frontend with the backend, particularly focused on getting content for units.
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