Детализируем рейтинг лучших ИТ-работодателей России 2019. Что ценят сотрудники в своих компаниях больше всего — читайте на Хабре
Обо мне
  • 9+ years of data analysis and bioinformatics at the Academy
  • 4+ years of research, development and software engineering in industry
  • 3+ years of team leading


python, R, SQL, C++, HTML, CSS, Go
scikit-learn, pytorch, pandas, numpy, Flask, FastAPI, gunicorn, SQLAlchemy, OpenCV
docker, prometheus, grafana, git, linux, AWS (EC2, S3, SQS, Lambda, RDS, EB, ECR), PostgreSQL


H-index: 9
Citations: 329
Publications: 23 (since 2012)
Google Scholar Account: https://scholar.google.ru/citations?hl=en&user=F8bkh5wAAAAJ

Профессиональные навыки
Опыт работы
Senior Research Software Engineer / Co-founder
Ноябрь 2019 — По настоящее время (7 месяцев)
Designed and developed software architecture of image recognition products for retail and HoReCa. Technologies: python (Flask, FastAPI, SQLAlchemy, OpenCV, numpy), PostgreSQL, AWS, docker, git, HTML, CSS javascript
United Credit Bureau
Agile Coach / Software Engineer
Сентябрь 2018 — Ноябрь 2019 (1 год и 3 месяца)

I assembled a cross-functional product team and trained them to work with Scrum. Together with the team we developed the first product in the history of the company by force of own developers (all previous products were developed by vendors). Developed a course and trained company employees (~100 people) in the basics of Agile (Scrum, Kanban, SAFe, LeSS, etc).

Technologies: python (Flask, aiohttp, SQLAlchemy, numpy, pandas, sklearn), PostgreSQL, docker, git, HTML, CSS

Data Science Team Lead / Bioinformatician
Апрель 2017 — Июль 2019 (2 года и 4 месяца)

I worked remotely from Moscow. I led a team of 2-4 scientists, and also carried out scientific research. We developed algorithms for quality control of mass spectrometric data and implemented them as cloud-based web-service.

Participated in fundamental research on protein-protein interaction in collaboration with Rockefeller University and New York University. The results were published (see «Publications» section for more information).

Technologies: R, python (Flask, SQLAlchemy, numpy, pandas), AWS (SQS, S3, DynamoDB, EC2, RDS), git, d3js MaxQuant, Mascot Search Engine

RPythonFlaskAmazon AWSGit
Senior Research Software Engineer
Сентябрь 2014 — Июль 2018 (3 года и 11 месяцев)

Developed a system for the analysis of human gut microbiota data, including algorithms for data processing and interpretation, as well as the backend of the service. This was used in the B2C product (https://atlasbiomed.com/uk/microbiome). Also, the web-based serivce for research organization was developed (https://biota.knomics.ru). The related work was published in BioData Mining journal (see "Publications" section)

In 2017, I've arranged a student internship for 12 people. I was a team leader of one of the teams (4 people in the team), together with B13LOGY LLC we developed a quality control system of mass-spectrometry data.

Together with Polyomica LLC and Liege University, worked on correlated expression & disease association research. I did a backend and frontend for the results of the research http://cedar-web.giga.ulg.ac.be. The related work was published in Nature Communications journal (see "Publications" section)

Technologies: R, python (Flask, SQLAlchemy, numpy, pandas), AWS (SQS, S3, DynamoDB, EC2, RDS), git, d3js MaxQuant, Mascot Search Engine, qiime

RPythonAmazon AWSGit
Research and Clinical Center of Physical-Chemical Medicine
Bioinformatician / Researcher
Сентябрь 2010 — Август 2016 (6 лет)

I was engaged in bioinformatic analysis of pro- and eukaryotes: genomics, proteomics, transcriptomics, system analysis. Objects of research: N.gonorrhoeae, M.gallisepticum, M.tuberculosis, E.coli, P.vanderplanki, B.fragilis, M.roseus, Human cancer.

Technologies: R, SQL, mummer, blast, Mascot Search Engine, Progenesis LCMS, XCMS.

Высшее образование
Московский физико-технический институт
Факультет: Молекулярной и биологической физики; ФМБФ
Сентябрь 2007—Май 2013 (5 лет и 8 месяцев)
Прикладные математика и физика
Дополнительное образование
Бесплатная образовательная программа от компании «Яндекс»
Data Science
Сентябрь 2019—По настоящее время (8 месяцев)