About Me
Hey,
My name is Max. I am a Machine Learning Engineer and researcher, focusing in Natural Language Processing.
I graduated from New York University in 2022 with MSc. in Data Science degree. I received BSc. in Applied Mathematics and Computer Science degree from Lomonosov Moscow State University in 2020.
Software Engineering, Web Programming, designing and embedding Machine Learning models are among my skills, while my primary research interests are Machine Translation, Information Search, and Text Summarization.
At this website you can find some information about me, my career and life. I am looking forward to collaborating with you!
Skills
Programming Languages & Software Engineering
NLP Techniques
Web programming
Resume
Working History
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Machine Learning Research Intern -- Curai Health
Jan 2022 - present -
Research Assistant -- NYU CILVR lab
Mar 2021 - presentConducting research on mitigating brevity problem in neural machine translation systems.
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NLP Research Engineer -- MSU Center for Big Data
Oct 2019 - Jul 2020I led the development of the non-profit search engine and analytical system over the collection of 80M research papers (https://scisearch.ai) in a recourse-constrained environment. A product was successfully designed, implemented and acquired by the MIPT Machine Intelligence Lab.
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Middle NLP Research Engineer -- Digital Decisions LLC
Feb 2019 - Oct 2019I was responsible for to the development of the NLP-driven search engine and recommender system, and introduced a new scheme of building memory efficient sentence embeddings. I also proposed business development strategy extensions helping to achieve the next investment round.
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NLP Engineer-- MIPT Machine Intelligence Lab
Jul 2018 - Jan 2019I contributed to the development of a search engine for the largest Russian aggregator of the public texts. I designed microservices-based product architecture and ranking model, successfully delivering the project to the customer on time.
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Developer Intern -- Kaspersky Lab
Feb 2017 - Jul 2018Took part in the developing of the assembly line for the Kaspersky Lab products..
Education History
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MSc. in Data Science @ New York University
2020 - 2022 -
BSc. in Computer Science @ Moscow State University
2016 - 2020TOP-1 Russian university, TOP-48 in the World in Computer Science (QS, 2019).
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MIT Online Course “Artificial Intelligence: Implications for Business Strategy”
20186-week online course designed by MIT Sloan Business School.
Contract projects
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Developer -- Sberbank AI Lab
May 2018, Moscow, RussiaDesigned and implemented an interactive adaptive web-interface for clustering models. The interface was successfully demonstrated at the Sberbank Demo-Day.
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Developer -- Returno Ltd.
Sep 2017 -- Nov 2017Frontend developer of the Google Chrome Extension prototype. The prototype was presented and approved for the seed investment round.
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Frontend developer -- Crimson Education
Jun 2017, Moscow, RussiaDesigned and implemented the web-interface for the SAT testing system. For the successful work the letter of gratitude was issued.
Papers
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I.Kulikov*, M.Eremeev*, K.Cho. Characterizing and addressing the issue of oversmoothing in neural autoregressive sequence modeling. ArXiv preprint, New York, US. 2021.
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M.Eremeev, K.Vorontsov. Quantile-based Text Complexity Measure. Dialogue-2020, Moscow, Russia. 2020.
- M.Eremeev, K.Vorontsov. Quantile-based approach
of measuring cognitive complexity of text. In proceedings of
Russian National Conference MMPR-2019, Moscow, Russia, 2019.
- M.Eremeev, K.Vorontsov. 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. 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.
Teaching
- I was a grader for DS-GA 1011 NLP with Representation Learning course (with prof. Kyunghyun Cho as instructor) at New York University Center for Data Science. I designed labs, graded quizzes, and held office hours.
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I was a teaching 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.
Results:
You can reach out to me to request more information about this project.
Courseworks and Thesises
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Bachelor thesis
11/6/2020Topic: Rakning of search results. Scientific Advisor: Dr. Konstanstin Vorontsov. Final Grade: Excellent.
Recieved gold medal in annual thesis competition 2020
Conferences
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Dialogue-2020
6/19/2020, Moscow, RussiaDialogue -- one of the largest NLP conferences held in Russia. Presented a paper "Quantile-based approach to estimating cognitive text complexity".
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OpenTalks.AI
2/20/2020, Moscow, RussiaOpenTalks.AI -- the largest Russian industrial conference on AI and Data Science. Presented a poster on "Quantile-based approach to estimating cognitive complexity".
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Mathematical Methods of Pattern Recognition
11/29/2019, Moscow, RussiaGave a talk on "Quantile-based approach to estimating cognitive complexity".
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Recent Advances of Natural Language Processing
9/4/2019, Varna, BulgariaPoster Session at the international conference. Topic: "Lexical Quantile-based Text Complexity Measure".
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DataFest
5/11/2019, Moscow, RussiaOne 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".
Contact Information & Links
I really prefer email or telegram as a communication resource.
- Current Location: Moscow, Russia
- E-mail: maks5507@yandex.ru
- Telegram: @maks5507
- LinkedIn: Maksim Eremeev
- VK: Maksim Eremeev
- Facebook: Maksim Eremeev
- Scopus: 57212339802
- ORCID: 0000-0001-7459-7290
- Github: maks5507
- Kaggle: maks5507