CTO, creator of Qdrant. Interested in Vector Search, Metric Learning, Self-Supervised and One-Shot learning.
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Qdrant
Data Scientist
June 23, 2026 – Present
api-reference
February 29, 2024 – Present
Repository for Qdrant's API Reference Documentation
View Projectqdrant
May 30, 2020 – Present
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
View ProjectEntityCategoryPrediction
April 11, 2019 – June 23, 2021
Model for predicting categories of entities by its mentions
View Projecttele2_hack
August 19, 2018 – August 21, 2018
Code for tele2 hackathon. Team 2HACK4YOU (1st place)
View ProjectOneShotNLP
May 6, 2018 – September 16, 2018
PyTorch text matching models implementation for One-Shot Named Entity Linking
View ProjectIntrospect_hackathon
May 20, 2017 – August 10, 2022
Код и данные с ODS Introspect Hackathon'а который проходил в кафе "Райский Пирожок", 19-21 Мая 2017.
View Projectaligner
July 6, 2014 – October 28, 2016
Sublime Text plugin for automatic code alignment.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong focus on personal projects, indicating self-motivation and a passion for data science. The variety of projects, from NLP to vector databases, suggests adaptability and a broad interest in the field. However, the lack of team-based or open-source contributions beyond hackathons makes it difficult to fully assess collaborative cultural fit. The current role at Qdrant as a Data Scientist aligns well with the target role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, but there is no direct information on communication style, teamwork, or problem-solving approaches in a collaborative setting.