- We offer hyperlocal, real-time weather information based on our proprietary weather forecasting technology - Meteum. Powered by machine learning, it gives accurate forecasts and analytics at the level of individual neighborhoods across the world. - Start optimizing your business processes with actionable weather insights. Our solutions will help your company grow faster, minimizing possible risks associated with the weather. - Integrate weather data into your product to meet your needs. We provide a simple API for any kind of weather or climate information.

Team Leader of Software Engineers team (machine learning, python). Responsible for overall quality of weather forecasts. Prioritization of machine learning research. Team recruiting and people management. Meteorological expertise of Yandex weather forecast project and help with product vision. Business development and B2B products.2021 - Meteum 2.0 launch. The world's first weather forecasting technology based on weather reports from users and machine learning2020 - Increasing quality of precipitation nowcasting service with neural networks and radar data:https://habr.com/ru/company/yandex/blog/504794/ (in Russian)2019 - Extension of nowcasting service to all territory of Russia, Europe, Asia and part of Africa:https://yandex.com/company/blog/weather-expansion-2019https://youtu.be/9zd3VR-prYU2018 - Launch of global precipitation nowcasting service based on satellites, radars and neural networks in European part of Russia: https://habr.com/ru/company/yandex/blog/425517/ (in Russian)

Russian search service Yandex (like Russian Google) invited me to develop their own weather forecast service. In one year we have formed team and designed “Meteum” technology for Yandex - hyperlocal weather forecasting service based on machine learning technology. Also we have developed short-term precipitation forecast based on doppler radars measurements and neural networks algorithms - nowcast. Meteorological expertise of the project. Prototypes development. https://yandex.com/weather/2017 - launch of global ML based weather forecast: https://habr.com/ru/company/yandex/blog/343518/ (in Russian)2016 - launch of super short-term precipitation nowcast for central part of Russia: https://yandex.com/company/blog/winter-is-coming-yandex-weather-nowcasting-helps-users-plan-for-precipitationhttps://habr.com/ru/company/yandex/blog/317626/ (in Russian)2015 - launch of ML based weather forecast for central part of Russia: https://yandex.com/company/press_center/press_releases/2015/2015-11-26https://habr.com/ru/company/yandex/blog/271725/ (in Russian)

Recruiting, team management, finance management, product presentation

Technology prototype, solving technical and scientific problems, hr, recruiting, team managementAeroState provides accurate and reliable air quality forecast and analytics. We provide information about current, future and past air conditions for your neighborhood with the resolution up to a city block. More information: https://aerostate.io

I've developed atmospheric tracer transport model GELCA, which used by scientific community and independent researchers for greenhouse gases studies, especially for GOSAT and OCO-2 satellite projects.I've designed architecture of Research Center of Middle Atmosphere for Russian Hydrometeorological Federal Service.

I was involved in key international campaigns about atmospheric research such as estimation the wreckage location of the Rio-Paris Air France 447 airplane, detection of volcanic ash caused by Icelandic Eyjafjallajokull volcano eruption using dispersion models and lidar observations, reconstruction of Fukushima power plant radioactive emissions, planning of aircraft experiments (YAK-42D “Roshydromet”) etc.More than 40 publications in top peer-reviewed journals including Nature Communications, Atmospheric Chemistry and Physics, Geoscientific Model Development, Journal of Geophysical Research Atmospheres, Geophysical Research Letters etc. h-index – 11. Co-author of over 100 presentations in international conferences and have 15 personal reports including meetings of American Geophysical Union (AGU) and European Geosciences Union (EGU).

GOSAT project participation

GOSAT project participation

GOSAT project participation