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KornilovaK/README.md

About me

Hard skills
Programming Python, C++
Software SQL, Git, Docker, Triton, Linux
ML DL, ML, Analytics, CV, NLP, Agents

EDUCATION

National University of Science and Technology MISIS, Applied Math, Bachelor

EXPIRIENCE

Intern Data Scientist at Sber Rist Modeling & Research

January 2025 - now

ML Teacher for students from specialized Moscow Math schools

September - December 2024

I conducted lectures and seminars in various areas of ML, and at the end of the course they will have to prepare and defend projects.

COURCES

  • Giraffe-ai MIPT: Classical and deep ml
  • NLP course for you: NLP
  • Deep Learning School: Deep learning, CV/NLP

ACHIEVEMENTS

  • One of 20 participants of T-Bank — Sirius University educational program. Theme: Modern machine learning technologies and their applications. Direction: NLP. Sochi, Russia, December 2024
  • Winner of hackathon PowerSafe. AI for automatic monitoring of security zones of power lines. Innopolis, Russia, November 2024
  • Winner of the AI hackathon at MIPT (Olympiad ”I am a PROFESSIONAL”). Case: A multimodal model of the propensity to buy products. Moscow, Russia, July 2024
  • Winner of IT case championship ”CUP IT”, award: ”High Quality Awards”. Section: ”Data Analytics”. Moscow, Russia, April 2024

PROJECTS

December 2024 We developed an LLM-based RAG system to fix annotators' errors. There are a fusion of FAISS retrieval and BM25 and an ensemble on 3 LLMs: Llama 3.1, Qwen 2.5, Gemma 2
December 2024 The latest messages when calling the bot are sent to the input of the LM (Qwen 2.5 with SFT). It generates a coherent prompt, which is fed to the input of the diffusion image model (Kaspersky), at the output of which we get our sticker
November 2024 I implemented the modified attention blocks in the gpt architecture and conducted experiments by training several models with different implementations and parameters.
September 2024 I’ve collected datasets, fine tuned Distillbert and T5 with Lora for QA task in Russian, integrated trained model to tg bot and wrapped an app in a Docker container. F1: 0.72, SAS: 0.81.
June 2024 Product cards are a set of images, text descriptions, and tabular characteristics. I preprocessed data, encoded it to the embeddings, created custom NN architecture and trained to the binary classification task. PR-AUC: 0.87.
February 2024 The bot can transfer the style from one photo to another: you need to send two photos and receive a photo with the transferred style in response using CycleGAN. It is possible to transfer the style using GANs by selecting one of the 4 suggested styles and sending 1 photo. Integrated onnx models to tg bot and wrapped an app in a Docker container.
May 2023 The Sign Language Interpreter mobile app, made in Android studio. It is intended for communication between deaf people and speakers who don’t know Russian sign language. The app translates gestures from the camera in real time and outputs the corresponding words. Uses CNN and RNN for time sequences.

Pinned Loading

  1. Dimmension/tbank-ml-camp-sirius Dimmension/tbank-ml-camp-sirius Public

    Решение кейса "LLM разметка"

    Jupyter Notebook

  2. reflex_attention reflex_attention Public

    Jupyter Notebook

  3. tg-bot-russian-qa tg-bot-russian-qa Public

    A telegram bot with integrated Russian QA system

    Jupyter Notebook

  4. Multimodal-model Multimodal-model Public

    The feature engineering, custom architecture and training of multimodal model: images, texts and attributes

    Jupyter Notebook

  5. firegory/StickerIt firegory/StickerIt Public

    Jupyter Notebook 1

  6. tg-style-bot tg-style-bot Public

    Python 2