Position: ML Research Engineer
Category: Data Science
English level: upper
Years of experience: 3


Bluetooth-based indoor localization of person/items
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We were developing a device-based system that will localize objects based on RSSI. We have implemented solutions using Fingerprinting, Trilateration, and Regression-based approaches. Also, we implemented a theoretical model to calculate maximal accuracy for custom beacon configuration. Also, all data gathering using beacons was implemented by ourselves. Also, started to work on the system with AoA using I/Q data.

Skycoin
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Developed support of Skycoin for Ledger from scratch (signing transaction, generating addresses, etc). Also worked with Golang as a desktop application to communicate with a hardware wallet via APDU and protobuff. Developed Bitcoin integration for SkyWallet. During the work, I had also set up Travis CI and have written a lot of unit tests. I was working remotely in international teams with a time difference of more than 8 hours.

Smart conference room
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We were developing the system, which provides dynamic air control and light control, notifies an overage of CO2 in the room, shows room occupation status using display outside of the room. Handle work of low power mode switching and correct system coherence.
I would be happy to work with something challenging and not ordinary (e.g., R&D projects with some scientific part, hardware + software, etc.)