Dmitrii Kravchenko is a Lead Software Engineer with 11 years of experience specializing in high-performance C++ systems, ML inference optimization, and MLOps. He has driven ML infra and inference efficiency at Yandex and now applies that expertise to search-related ML at Ozon Tech, with a track record of boosting throughput and lowering latency for production STT/TTS and LLM pipelines. Dmitrii combines hands-on low-level work—lock-free data structures and concurrent programming showcased in hpcourse contributions—with team leadership, API and storage architecture design for cloud ML workloads. He has experience porting research to production in trading and search environments and enjoys squeezing maximum utilization from CPU/GPU for real-time services. Colleagues know him as a mentor who prefers direct contact via email or Telegram rather than LinkedIn messaging.
11 years of coding experience
6 years of employment as a software developer
Master's degree, Computer science, Master's degree, Computer science at Высшая Школа Экономики
Bachelor's degree, Department of Mathematics and Information Technology, Bachelor's degree, Department of Mathematics and Information Technology at Saint Petersburg Academic University of the Russian Academy of Sciences
Repository to store student's practical works on high performance computing course
Role in this project:
Back-end Developer
Contributions:8 commits, 3 PRs, 2 comments in 1 month
Contributions summary:Dmitrii primarily contributed to the implementation of concurrent programming solutions in C++ and Java. They developed a producer-consumer problem solution with pthreads and a lock-free set data structure, incorporating unit tests. The contributions demonstrate understanding of concurrency control mechanisms and data structure design. Bug fixes and performance improvements were also incorporated throughout the development.
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Dmitrii Kravchenko - Lead Software Engineer at Ozon Tech