https://github.com/sadevans/my-cv

https://github.com/sadevans/my-cv

Last synced: 3 months ago
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• Host: GitHub
• URL: https://github.com/sadevans/my-cv
• Owner: sadevans
• Created: 2024-08-19T09:20:58.000Z (10 months ago)
• Default Branch: main
• Last Pushed: 2024-10-05T12:52:49.000Z (8 months ago)
• Last Synced: 2025-01-19T00:46:08.250Z (5 months ago)
• Homepage: https://sadevans.github.io/my-cv/
• Size: 110 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Aleksandra Gorokhova

_Computer vision engineer_ 


[Email]([email protected]) / [GitHub](https://github.com/sadevans/) / [Telegram](https://t.me/sadevans)

## 💻 Techical skills

`Python`, `C++`, `Vanilla JS`


`PyTorch`, `OpenCV`, `Pillow`, `Transformers`, `CNN`, `HuggingFace`, `pytorch-lightning`, `JAX`, `numpy`, `NLP`, `Classic ML`


`scikit-learn`, `pandas`, `catboost`, `lightgbm`, `hive`, `pyspark`, `PostrgreSQL`, `MySQL`, `MSSQL`


`Flask`, `Django`


`linux`, `git`, `docker`

## 👩‍💻 Work Experience

**Junior CV Reseacher** @ VisionLabs _(Sept 2024 - Present)_ 


_**Technologies used:**_ `python`, `pytorch`, `pandas`, `scikit-learn`, `opencv`, `torchvision`, `transformers`, `PIL` 


Development of pipeline of determination of vehicle orientation. Acceleration of algorithms.





**Data Scientist** @ Sberbank Cyber Security. Anti-Fraud Department. Management of AI Modeling and Development _(May 2024 - Present)_ 


_**Technologies used:**_ `pyspark` `pandas` `scikit-learn` `hive` `python` `sql` `catboost` `lightgbm`

Development of a fraud detection model for transfers to individuals entity.

  - Building data marts.

  - Writing optimized queries.

  - Creating new features.

  - Development and training of new models. 

  - Additional retraining.





**Computer Vision Researcher/Engineer** @ [Sberbank Robotics Center](https://sberlabs.com/laboratories/tsentr-robototekhniki) _(May 2023 - March 2024)_ 


_**Techologies used:**_ `python` `pytorch` `opencv` `scikit-image` `Pillow` `Docker` `CNN`

Inverse lithography project

- Development of a full-fledged pipeline for generating synthetic data that repeats the original images from an electron microscope.

- Improved the accuracy of segmentation models by using generated synthetic data.

- Wrote additional software functionality on top of image noise reduction models - Blind2Unblind, Scunet.

- Implemented algorithms for calculating the pure signal of an electron microscope from scientific articles.

- Have written a lot of user interfaces for developed solutions.





## 👩‍🎓 Education

**[ITMO](https://ai.itmo.ru/)** (2024 - 2026) 


_Artificial Intelligence, Computer Science and Computer Engineering, Master's degree_ 


Student of AI Talent Hub.





**[BMSTU](https://bmstu.ru/chair/sistemy-avtomatizirovannogo-proektirovania)** (2020 - 2024) 


_Robotics and Complex Automation, Computer Science and Computer Engineering, Bachelor's degree_ 


GPA: 4.78/5





    

## 🧬 Science expirience

- **Final year Bachelor's thesis** _(2024)_


Generation of real time video subtitles based on the movement of the speaking person's lips.


_**Technologies used:**_ `python` `pytorch` `pytorch-lightning` `opencv` `pillow` `CNN` `Transformers` `django` `vannila js` `docker`


_**Results:**_

  - Collected and preprocessed data for training

  - Developed Model Architecture using Conv3D + modified EfficientNetV2 + Transformer Encoder + TCN using description in the article

  - Made experiments with EfficientNetV2 parameters, sizes and with different languages (russian and english)

  - Made experiments with classification of visemes (visual representation of phoneme).

  - Developed WEB App for demo using Django and Vanilla JS


  The current version of the project is a classification of spoken words. I am currently working on predicting individual visemes.

- **Scientific article "Implementation of verification methods for elements of discrete event models for robotics tasks"** _(2023)_


  _**Publisher:**_  Integrated automation of design and production, BMSTU Press 


  Modeling of processes in a discrete event system for managing a group of mobile robots. Improving the quality of the system by verifying the model.

- **Report "Implementation of verification methods for elements of discrete event models for robotics tasks"** _(2023)_


  _**Publisher:**_ Integrated automation of design and production 2023 KAPPA(M)-2023

  

  

## 🏆 Accomplishments

**Won 2nd Place** @ [Digital Breakthrough. Season: Artificial Intelligence](https://disk.yandex.ru/i/bfoi72iJs-JOTQ)  _(May 2023)_ 


Implementation of a model for predicting the addition of a person to friends. 

**[FCE](https://disk.yandex.ru/i/pQfmCnvEJhmcaA)**  _(2019)_ 


English Upper-Intermediate.

## 💬 Languages

🇷🇺 **Russian**: native 


🇺🇸 **English**: B2+ (Upper-Intermediate)