Code Infra team: working on static analysis and automatic refactoring at Bloomberg.

Improving infrastructure for Python, C++ and other languages.

• Improving Python Developer Experience: linters, parsers, language servers

• Developing tools and infrastructure for Software Engineers and Data Scientists.

• Improving AI and Machine Learning developer productivity.

• Supporting cinder (faster cPython fork)

• Bootcamp mentor and interviewer

• Implementation and support of Yandex ad engine, which consists of over 10 subsystems, has 1M RPS and 100ms latency SLA.

• Worked on an ad management system. Improved geotargeting, added Yandex phone device targeting.

• Stack: Django, Angular, YT (Yandex Tables), Clickhouse.

• Developed a data visualization web tool from scratch using Python/Kafka as backend and React.js frontend.

• Implemented a low latency / high throughput financial data monitoring pipeline with Apache Kafka.

• It calculates and shows various data features and latencies (hardware/software delay, time to trade,

current position, profit/loss, fees, etc.) processing data with strict no-delay requirements.

Set up CI pipelines and optimized QA and development workflow with vagrant and Jenkins Job Builder.

Took part in development of machine learning model evaluation system.

Finished a project of updating and refactoring internal testing distributed system. It allows running unit and functional tests using virtualized and bare metal environments, including the full process of deploying any version of OS X from scratch over the network.