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Field of interests: LLM, NLP, RL, Graphs, Distributed Systems

My telegram channel:Cat's Shredinger

• Languages:  Python, SQL
• DS/ML/DL:    SkLearn, PyTorch, Transformers
• Big Data:       Hadoop, Spark
• DevOps:       Linux, Git, Docker

• Master’s Degree @ Lomonosov Moscow State University (2019 - 2023)
• Bachelor's Degree @ Plekhanov Russian University of Economics (2015 - 2019)

• MUSE TF -> PT - convert Multilingual Universal Sentence Encoder from TensorFlow to PyTorch and ONNX
• QaNER - unofficial implementation of QaNER paper (NER via Extractive Question Answering)
• RLLib - Reinforcement Learning library
• MUSE as Service - REST API for sentence embedding using Multilingual Universal Sentence Encoder
• PyTorch NER - pipeline for training NER models using PyTorch
• Text Classification Baseline - pipeline for building text classification TF-IDF + LogReg baselines
• Graph-Based Clustering - clustering using graph connected components and spanning trees

• From Model to Service: Flask + Gunicorn + Docker @ Sberloga
• QaNER - NER via Exractive QA @ Sberloga
• Git Hooks Is All You Need @ Sberloga
• Web-Service for Sentence Embeddings @ Sberloga
• How to start a career in DS @ REU Data Science Club

• Practical Reinforcement Learning (with honors) @ Coursera
• Introduction to Deep Learning (with honors) @ Coursera
• Bayesian Methods for Machine Learning (with honors) @ Coursera
• Hadoop. System for processing large amounts of data @ Stepik

• deNews @ ETHOnline 2022
• Alzheimer's MRI Analysis @ Synthetic Health Data Hackathon 2020

• Key contributor toGigaChat: Russianmost advanced LLM
• 500+ stars on GitHub and10 packages inPyPI with38k+ downloads
• Contributor toPyTorch,Scikit-Learn,SciPy
• Open Data ScienceBest Contributor 2020

More information in myLinkedIn 🚀