Petr Leontev is a Solutions Architect with 12 years of experience building cloud-native streaming, 3D rendering and synthetic data pipelines for media generation, XR and ads production. He blends hands-on engineering (Unreal, C++, Python) with strategic pre- and post-sales architecture, having led commercialized products adopted by Amazon Games and Meta Research and architected pipelines able to generate up to 100M synthetic videos. At ByteDance he drives multimodal generative AI solutions and supports regional SAs and AEs; previously he founded an immersive tech consultancy that delivered production-grade runtime recording and scalable rendering systems across ten countries. His work spans low-level engine optimizations to cloud CI/CD and cost-driven vendor negotiation, and he contributes to backend open-source projects (AppScale) tied to scalable serverless platforms. Notably, he combines research-oriented problem solving from bioinformatics and algorithmic backgrounds with pragmatic product delivery, enabling deterministic physics and data-control solutions for foundational video models.
12 years of coding experience
4 years of employment as a software developer
Master's degree, Software Engineering, Master's degree, Software Engineering at St. Petersburg Academic University RAS
Algorithmic Bioinformatics, Algorithmic Bioinformatics at Bioinformatics Insitute
Bachelor's degree, Applied Math and Informatics, Bachelor's degree, Applied Math and Informatics at Tomsk Polytechnic University
AppScale is an easy-to-manage serverless platform for building and running scalable web and mobile applications on any infrastructure.
Role in this project:
Backend Developer
Contributions:7 commits, 4 PRs, 11 comments in 25 days
Contributions summary:Petr primarily contributed to the AppScale platform's backend infrastructure. Their work focused on updating the application's cron job functionality, including implementing a new Cron console page, and modifying the cron.yaml parser. They also addressed version compatibility issues with the Tornado framework and corrected indentation inconsistencies. Furthermore, the user added tests related to the cron jobs.
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