I graduated from Lomonosov Moscow State University in 2020 with BSc. in Applied Mathematics and Computer Science degree.
At this website you can find some information about me, my career and life. I am looking forward to collaborating with you!
Programming Languages & Software Engineering
Exploratory search engine and workspace for researchers
Multi-document multi-language summarizer
Open-source library to estimate cognitive text complexity
A resource helping students to access digital textbooks
Specialist -- MSU Center for Big DataOct 2019 - Present
Leading and managing the research and development of the non-profit search and analytical system over the collection of research papers.
Middle Research Engineer -- Digital Decisions LLCFeb 2019 - Oct 2019
Led the development of the NLP-driven search engine and recommender system.
Project Team Lead -- MIPT Machine Intelligence LabJul 2018 - Jan 2019
Led the development of the NLP-based search engine for the largest Russian aggregator of the public texts.
Developer Intern -- Kaspersky LabFeb 2017 - Jul 2018
Took part in the developing of the assembly line for the Kaspersky Lab products..
BSc. in Computer Science @ Moscow State University2016 - 2020
TOP-1 Russian university, TOP-48 in the World in Computer Science (QS, 2019).
MIT Online Course “Artificial Intelligence: Implications for Business Strategy”2018
6-week online course designed by MIT Sloan Business School.
Developer -- Sberbank AI LabMay 2018, Moscow, Russia
Designed and implemented an interactive adaptive web-interface for clustering models. The interface was successfully demonstrated at the Sberbank Demo-Day.
Developer -- Returno Ltd.Sep 2017 -- Nov 2017
Frontend developer of the Google Chrome Extension prototype. The prototype was presented and approved for the seed investment round.
Frontend developer -- Crimson EducationJun 2017, Moscow, Russia
Designed and implemented the web-interface for the SAT testing system. For the successful work the letter of gratitude was issued.
M.Eremeev, K.Vorontsov. 2020. Quantile-based Text Complexity Measure. Dialogue-2020, Moscow, Russia. 2020.
(Accepted, to be published)
- M.Eremeev, K.Vorontsov. 2019. Quantile-based approach
of measuring cognitive complexity of text. In proceedings of
Russian National Conference MMPR-2019, Moscow, Russia, 2019.
- M.Eremeev, K.Vorontsov. 2019. Lexical Quantile-Based Text Complexity Measure.
In Proceedings of the 12th International Conference on "Recent Advances in Natural Language Processing", Varna, Bulgaria, 2019.
- M.Eremeev, A.Yanina. 2019. Exploratory Search based on Topic Modelling (in Russian).
Book of Abstracts of XXVI International Conference of Students, Graduates and Young Scientists "Lomonosov-2019",
Computational Mathematics and Cybernetics section, Moscow, Russia, 2019.
I was a research assistant at the
"My First Paper" course at Moscow Institute of Physics and Technology (MIPT).
I supervised the research on Reading Order generation with Topic Models conducted by a third-year MIPT student. The work was awarded the highest grade
and the results are now getting prepared for publishing.
You can reach me to request more information about this project.
Courseworks and Thesises
Topic: Rakning of search results. Scientific Advisor: Dr. Konstanstin Vorontsov. Final Grade: Excellent.
Recieved gold medal in annual thesis competition 2020
Dialogue-20206/19/2020, Moscow, Russia
Dialogue -- one of the largest NLP conferences held in Russia. Presented a paper "Quantile-based approach to estimating cognitive text complexity".
OpenTalks.AI2/20/2020, Moscow, Russia
OpenTalks.AI -- the largest Russian industrial conference on AI and Data Science. Presented a poster on "Quantile-based approach to estimating cognitive complexity".
Mathematical Methods of Pattern Recognition11/29/2019, Moscow, Russia
Gave a talk on "Quantile-based approach to estimating cognitive complexity".
Recent Advances of Natural Language Processing9/4/2019, Varna, Bulgaria
Poster Session at the international conference. Topic: "Lexical Quantile-based Text Complexity Measure".
DataFest5/11/2019, Moscow, Russia
One of the largest Data Science conferences in CIS. Held a talk at Science day at the BigARTM workshop section on "Estimating text complexity to rank exploratory search results".