CV

Work experience

Fall 2024-now
- Research student at CVLab
- Working on realistic 3D Gaussian Splatting object insertion, pre-print
Summer 2023-Fall 2023
- Visiting Student at KAUST
- Supervised by prof. Peter Wonka
- Worked on improving of Neural Radiance Fields (NeRF) to better accommodate scenes of various sizes
Fall 2022-Summer 2023
- Research Intern at MIPT
- Improved Semantic NeRF by incorporating uncertainty estimation
- Published a conference paper as a result of this internship
Summer 2022-Fall 2022
- Machine Learning Engineering Intern at Yandex
- Worked on enhancing ranking algorithms by incorporating information from recent news into Yandex.Search, which processes ~1.6B daily queries

MSc at EPFL, Data Science, 2024-2026
- Ranked among the Top 10 universities in Europe
- GPA 5.13/6.0
BSc at MIPT, Applied Mathematics and Physics, 2020-2024
- Thesis: FILIP-like Loss Function for Multimodal Classifier Training
- Graduated with honors GPA: 9.1/10.0 (3.87/4.0), Top 5% of class
- Ranked as the Top Computer Science University in Russia

Python, C++
Math, Linear Algebra, Calculus, Statistics, Physics, Programming, …
Machine Learning
- Computer Vision, Generative Models, Scene Reconstruction (NeRF and 3DGS)
- torch, torchvision, transformers, diffusers, sklearn, numpy, matplotlib
Blender

Vsevolod Skorokhodov, Nikita Durasov, Pascal Fua. "D3DR: Lighting-Aware Object Insertion in Gaussian Splatting" ArXiv preprint.

Vsevolod Skorokhodov, Daria Drozdova, Dmitry Yudin (2023). "uSF: Learning Neural Semantic Field with Uncertainty " OMNN.