- 💼 NLP Researcher at Toloka AI, former NLP at EPAM Systems, and Intern at JetBrains Research;
- 📄 Erasmus Mundus 'Language & Communication Technologies' student at the University of Groningen and Saarland University;
- 👨🏫 Lecturer and Ex. Python Course manager at the Yandex School of Data Analysis;
- 💻 Interested in NLP, Interpretability, Pruning and Human-AI collaboration;
- 📝 More: CV file or linkedin.com/in/kdchernyshev or mail me 😊.
| Skills | |
|---|---|
| Data Science |         |
| Frameworks |       |
| Programming Languages |      |
| Development Tools |        |
| Languages |     |
| Project | Description | Stack |
|---|---|---|
| Open Source: | ||
| CodeBLEU (2023) | Unofficial CodeBLEU metrics implementation as the original does not provide pip package, macOS support and usable interface; |       |
| Manytask (2023) | Auto students' assignments testing system /w gitlab integration; Loaded about 1-2k students per year; |      |
| fastapi-jwt (2021) | FastAPI-native extension for JWT Auth; |   |
| Educational: | ||
| EDOS-2023 (2023) | Public repo for Sexism Detection Shared Task (EDOS 2023) by LCT-1 team utilising multitasking approach; |     |
| Fact Aware Abstractive Summarization model (2018) | Bachelor thesis project, Abstractive Summarization model using Knowledge Graphs - adding additional attention CNN graph encoder for PEGASUS model; |     |
| Personal: | ||
| Homelab (2023) | Personal infrastructure-as-code project for managing my laptop/vps/homeserver with Ansible; |       |
| auto-profile (2023) | Small project to auto generate github profile, personal website and latex cv using single yaml file; |    |
| multi-label-image-classification (2018) | Old project for Intel Delta 9 Course final competition - multi label image classification with Inception v3; |   |