Vasilii Avdiushkin

- Managing, maintaining and improving big data analytics infrastructure (spark, oozie, ruby on rails, mysql) - Splitting up complex parts of the system into microservices (clojure, java) - Making test ad-hoc analysis using ipython notebooks/jupyter - Supporting best practices in software development (monitoring, peer reviewing, documentation).

- Improved deployment automation processes, created the CI server; - Created the platform for crawling the valuable information from the websites using iterative approach; - Implemented parallelized and isolated selenium-based crawling scripts for ads testing; - Refactored and added features to the legacy code, promoted unit-testing and TDD; - Improved old backend performance by switching to gunicorn.

- Core highload ad processing (RTB) system architecture and development (erlang); - Statistics aggregation (erlang, rabbitmq, postgreSQL); - Distributed in-memory cache with per-object TTL for online data (erlang); - Collection and sending metrics from erlang to graphite; - Fraud analytics, detecting request clusters (Golang, JS); - Services failover mechanisms, monitoring; - Erlang tuning; - Performance testing (basho bench, gatling).

Performance testing of the API and payment endpoints

- Outgoing payment services interfaces (Python/Twisted); - Report/statistic, document generation (templates, processing), distributed file storage services (Erlang); - Migration from bzr to git; - Build, unit-test, dependency-handling server (Erlang).

- C library wrappers for node.js, code generation based on threading model description; - Protocols implementation and performance comparison with different asynchronous platforms (node.js, twisted, tornado, C).

Embedded systems