Fields of interest: Diffusion Distillation, Diffusion, Mulimodal models, Flow Matching, GANs
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DL Researcher at SBER AI (April 2024 - Present day):
- Kandinsky 5.0 Released 8 models
- Developed a universal Multistage Video Diffusion Distillation Pipeline (Ρ 2 - Ρ 8), CFG distill -> Consistency distill -> Adversarial Distillation
- Kandinsky 4.1 Video Distillation (Ρ 8 speedup)
- WAN 2.1, Hunyuan Video Distillation (Ρ 8 speedup)
- 1000+ GPU distirubuted training pipeline (PyTorch)
- Kandinsly 4.0 T2V Flash (Distillation x25 speedup)
- Video Diffusion Distillation (LADD, ReFlow, LCM)
- Auto-Encoders (VQ, KL) Created SOTA KL-VAE for LDMs
- FlowModels Inprementation of Flow-based models and distillation technoiques
- Dragon Diffusion on Kandinsky 3.0
- 3D Microstructures generation
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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)
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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)
- Skoltech
- NUST MISiS (Since 2021)
- Yandex.Lyceum (2018 - 2020) Diploma, Verification
- Deep Learning School (Since 2020 - 2022)
- Tinkoff Generation ML Course (2022 - 2023) | Enrollment Solution
- Tinkoff Generation Advanced DL Course (2023) | Enrollment Solution
- Summer with AIRI 2023 (2023) | Project
- SMILES 2025 | Project
- π₯ AIIJC "AI in Customer service" 2021 | Solution Description
- π₯ HSE Assistant Hack: Python "LLM assistant for programming contests" 2024 | Solution
- π₯ RuCode 6.5 "AI-generated text classification" 2023 | Solution
- π₯ ML Talent Match "NER on resumes 2024" | Solution
- π₯ LCT Yakitiya | Solution
- π₯ RuCode 7.0 | Solution
- π₯ Data Wagon Hack 2023 | Solution
- π₯ RuCode 6.0 "Car color classification" 2022 | Solution
- π₯ RuCode 5.0 "AI in vocation salary prediction" 2022 | Solution
- 4/80 Moscow Travel Hack "ServiceTech" | Solution
- 4/20 Tula Hack "Building Detection from satellite images" | Solution
- Finalists VTB More Tech 4.0 | Solution
- 24/113 Leaders of Digital "AI in prediction of RBC news popularity" | Solution
- 21/76 Yandex ML Cup NLP | Solution
- 11/50 NTI BD&ML 2020-2021
- 168/501 MTS ML Cup | Solution
- Tinkoff Scholarship holder (2022 - 2023)
- VK Education Scholarship holder (2023 - 2024)
- FlowModels (IN PROGRESS)
- Graphormer in PyTorch-Geometric
- Adversarial Diffusion Distillation implementation
- Diffusion Forcing with Flow Matching
- Dragon Diffusion on Kandinsky 3.0
- 3D Microstructures generation
- Diffusers-like Euler Scheduler for Flow Matching
- South Park Character Generation, Dataset
- Flow Matching on ODEs and SDEs for colving inverse problems (Summer with AIRI 2023)
- Diffusion pet project
- Methods for Pretraining Graph Neural Networks
- Tools for hyperspherical coordinates
- Variational Graph Auto-Encoders
- Point cloud project
- Tools for model ensembling
- My Gradient boosting
- Web app for conducting ACM competitios
π·πΊ Russian - Native
π¬π§ English - C1
π¨π³ Chinese - A2
- πββοΈ Surfing
- πββοΈ Swimming
- π Snowboarding
