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leffff/README.md

Lev Novitskiy

Machine learning engineer / Data Scientist

Fields of interest: Diffusion, Diffusion Distillation, Flow Matching, GANs


πŸ“Š ML stack

python pytorch pytorch-geometric albumentations huggingface diffusers wandb catbost catbost pandas spark plotly seaborn

πŸ”§ Other skills

bash git

πŸ‘¨β€πŸ’» Work experience

  • DL Researcher at SBER AI (April 2024 - Present day):

  • DL Researcher at AIRI (April 2023 - May 2024)
    As a result of the research we propose several new models for crystal structure generation and modification code

    • New materials design with VAEs (VAEs)
    • Formation Energy regression with neural networks (GNNs, PointNet, CNNs, Transformers)
    • Crystall structure generation, optimization (Diffusion, Flow Matching, Bridge Matching, Auto-Encoders, CNNs, Transformers, En-Transformers)
  • DL Engeneer at SBER Cyber Security (July 2022 - April 2024):

    • NLP: fraud call analisys
    • Classic ML: fraud detection with gradient boosting
    • Transaction Graph Neural Networks (GCN, GAT, GraphSAGE, Graphormer, GIN)
    • Transaction Graph Neural Network pretraining (self-supervised: ARGA, ARGVA, GAEs, VGAEs, Contrastive Learning)
    • Transaction Graph Neural Network (Temporal GNNs)
    • Transaction sequence scoring (LSTM, GRU, Transformer Encoder)
    • User scoring (Gradient Boosting, Ensembling)
    • Vulnerability detection in assembly with neural networks (Angr, GNNs)
    • Antifraud Voice Bot for preventinng call fraud (BERT, NSP, Pretraining, SFT, GPT, FAISS, HNSW, Retrieval, Whisper, ConFormer)

πŸŽ“ Education

πŸ† Competition Background

πŸŽ‰ Other Achievements

πŸ‘¨β€πŸ« Other activities

🐢 Projects

Languages

πŸ‡·πŸ‡Ί Russian - Native
πŸ‡¬πŸ‡§ English - C1
πŸ‡¨πŸ‡³ Chinese - A2

Hobbies

  • πŸ„β€β™‚οΈ Surfing
  • πŸŠβ€β™‚οΈ Swimming
  • πŸ‚ Snowboarding

Contacts

android android

My blog

android

Pinned Loading

  1. ai-forever/Kandinsky-4 ai-forever/Kandinsky-4 Public

    Text and image to video generation: Kandinsky 4.0 (2024)

    Python 135 5

  2. AI-IJC AI-IJC Public

    1st place solution to AI IJC Customer Service task

    7 2

  3. FlowModels FlowModels Public

    The aim of this repository is to test and implement Flow-Matching-based models

    Jupyter Notebook 60 3

  4. graphormer-pyg graphormer-pyg Public

    Microsoft Graphormer (https://arxiv.org/abs/2106.05234) rewritten in Pytorch-Geometric

    Python 136 18

  5. adversarial-diffusion-distillation adversarial-diffusion-distillation Public

    My Implementation of Adversarial Diffusion Distillation https://arxiv.org/pdf/2311.17042.pdf

    Jupyter Notebook 49 6

  6. AIRI-Institute/conditional-crystal-generation AIRI-Institute/conditional-crystal-generation Public

    Jupyter Notebook 2