Sergei Elnikov Email & Phone Number

Belgrade, Serbia

• Designed, developed, and maintained robust ML infrastructure to support high-load operations within a large-scale delivery service environment.
• Implemented distributed service for real-time geographical data processing. Leveraged the h3 library, Kafka-like message broker, and Redis functionalities to optimize performance. Successfully resolved complex.
• Engineered a service for asynchronous monitoring and controlling of demand/supply balance using statistical features, ML predictions, and graph algorithms. Ensured comprehensive logging coverage for ML and analytical.
• Established extensive observability coverage to facilitate seamless system maintenance. Employing tools such as OpenTracing, Grafana, and proprietary observability solutions to ensure efficient monitoring and.
• Implemented services using C++ and an asynchronous framework for web services (userver), employing multithreaded programming techniques for sustained high performance. Additionally, utilized pandas alongside YQL (SQL.

St Petersburg, St Petersburg City, Russia

• Contributed to enhancing and expanding the capabilities of a platform dedicated to storing and processing hundreds of terabytes of data for one of the country's largest online marketplaces.Focused on ensuring data.
• Engineered a fault-tolerant distributed pub-sub service using C++, alongside an in-house coroutine engine, Protocol Buffers, and YTSaurus OLTP solution.
• Developed batch data processing pipelines utilizing the YTSaurus MapReduce C++ API, enabling efficient handling of large datasets.
• Leveraged tools like valgrind and perf to analyze and enhance the performance of intricate high-load services.
• Implemented user-friendly features such as automated dashboard generation, alert systems, and a tool for selective data recovery from backups, enhancing both platform usability and developer productivity.

St Petersburg, St Petersburg City, Russia

• Implemented PySpark as a new solution for the data processing pipeline, replacing the previous in-house Scalding-like DSL solution, thereby enhancing efficiency and scalability
• Post-implementation of PySpark, analyzed and optimized MapReduce pipelines to improve speed and cluster resource utilization

St Petersburg City, Russia

Conducted practical classes with code-review for first-year students on development tools.

St Petersburg, St Petersburg City, Russia

• Developed algorithms for 5G base station data processing using C++
• Used Matlab to write integration tests