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ML and R&D Software Software Engineer

Hi, I am a graduate of ETU "LETI" Electrotechnical University, my speciality is healthcare information systems. I'm trained in digital signal processing and analysis of biomedical information such as EEG, ECG, EMG as well as computed tomography image processing. My second specialisation is the development of applications for medical research. Currently studying at PhD programme "Artificial Intelligence and Machine Learning" at ITMO University, focusing mainly on the development and implementation of such technologies in medicine.

Current Projects

Real Time eXplainable Belife-Desire-Intention Multi-Agent System (with ITMO University)

Development of probiotics for patients with gestational diabetes (with Almazov National Medical Center)

Complited Projects

m-health application with XGboost Bloog Glugouse prediction model and diet recommendation system for the Almazov National Medical Research Centre

  • DiaCompanion iOS Application | | Patent number - 2202661781
  • DiaCompanion Android Application | | Patent number - 2022664462
  • DiaCompanion Web Application | | Patent number - 2021681059

My publications

ORCID: 0000-0002-2938-0575 and AuthorID (РИНЦ): 1130816

Skills

Education

2017 - 2021; Saint Petersburg Electrotechnical University "LETI" (ETU), Saint-Petersburg, Russia; Bachelor’s degree in Biotechnical Systems and Technologies

2021 - 2023; Saint Petersburg Electrotechnical University "LETI" (ETU), Saint-Petersburg, Russia; Master’s degree in Biotechnical Systems and Technologies

2023 - 2026; National Research University of Information Technologies, Mechanics and Optics (ITMO), Saint-Petrsburg, Russia; PhD in Artificial Intelligence and Machine Learning

Additional professional programmes:

Program languages and Frameworks

Predominantly Python, but also MATLAB / R in ML tasks. Swift for mobile development.

Database

SQLite and superficial familiarity with PostgreSQL, MongoDB.

Additional

A bit of HTML / CSS (Bootstrap) and Java Script (React, Express).

Speaking

RU (Native), EN (B1.2-B2).

Artem's Projects

catboostbloodglucouseestimation icon catboostbloodglucouseestimation

CatBoost model with L2 regularization to assess the contribution of the microbiome in predicting postprandial glycemic response levels

diacomapnion_web icon diacomapnion_web

Web application for data collection and exchange betwen physicians and patients (closed)

diacompanion_api icon diacompanion_api

DiaCompanion API for user account management and food database updates.

surgery-quota-scheduler icon surgery-quota-scheduler

A Multi-Agent Reinforcement Learning (MARL) environment for short-term action planning in continuous time space.

svrbloodclugouseestimation icon svrbloodclugouseestimation

Support vector regression model to assess the contribution of the microbiome in predicting postprandial glycemic response levels

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