Open to opportunities

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@name_baseuser

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I build LLM training data and multilingual classifiers that improve model quality.

Germany

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What I'm looking for

I'm looking to build and evaluate high-quality ML and LLM systems, especially around training data, multilingual NLP, model quality, and applied research.

At SberDevices on GigaChat Pretrain Data, I develop multilingual classifiers for LLM pretraining and expanded a core dataset by 53%, improving MMLU 0-shot performance from 0.3657 to 0.4216. I identify data candidates, integrate evaluation metrics, and lead research seminars on LLM data quality and evaluation.

I've also built an EdTech LLM chatbot, fine-tuned models with LoRA and P-Tuning, developed production C++ geocoding components at Yandex.Taxi, and created ML teaching materials at MIPT. My work spans NLP, computer vision, generative models, data analysis, and research communication.

Experience

Work history, roles, and key accomplishments

Course Developer

Moscow Institute of Physics and Technology

Apr 2024 - Jun 2024 (2 months)

Developed course materials on ML (augmentations and RNN/LSTM) including lectures, seminars, assignments, and tests.

Machine Learning RNN Augmentation Course Development

Business Consulting Intern

Yakov and Partners

Feb 2024 - May 2024 (3 months)

Conducted data parsing, cleaning, and analysis for consulting projects and prepared client-facing McKinsey-style presentations. Designed KPI system for marketing at Pushkin Museum.

Data Analysis Data Cleaning And Presentations KPI Design

C++ Developer Intern

Yandex.Taxi

Oct 2021 - May 2022 (7 months)

Developed C++ components for geocoding data in Yandex.Taxi production services.

C++geocoding Production Services

ML Engineer

AI Lab

Developed an LLM-based chatbot for EdTech purposes, including model fine-tuning (LoRA, P-Tuning), synthetic data generation, and prompt engineering.

LLM Chatbot Fine Tuning LoRAs P Tuning Synthetic Data Generation Prompt Engineering

Course Tutor for Diffusion Models

SberUniversity

Prepared seminars and homework assignments for students in the Diffusion Models course, conducted consultations, administered exams, collected feedback, and contributed to course structure improvements.

Diffusion Models Teaching Course Development Seminare Exames