Jan 2022 – Jan 2025 · 3 yrs

Jan 2022 – Jan 2022 · 0 mo · Moscow City, Russia

• Responsibilities
• Improvements, version control and maintaining PEP-8 code quality of the training materials for the MSU course “Neural networks and their application in scientific research”.
• Results
• Crafted 7 new infographics, completely rewrote 3 text sections, revised documents structure, fixed 6 lectures to match CC0 license.
• Technologies
• Python with ML modules, Pytorch, git, Google Colab.

Jan 2021 – Jan 2022 · 1 yr

• Results
• Completed 3 ML courses. Studied Data Analysis, classic ML (Naive Bayes, SVM, Trees and Ensembles, Boosting, Time Series, Dimensionality Reduction, Feature Selection etc.) and Deep Learning (CV: Segmentation, Detection and Recognition, NLP, CVAE, GANs, Policy Gradients in RL, etc.). Finished 20+ Data Science projects, 10+ of them using Deep Learning.
• Technologies
• General
• Python, Pytorch, numpy, pandas, pyplot, seaborn, sklearn pipelines, SQL, Linux.
• Classic ML
• scikit-learn, xgboost, catboost, lightgbm, category-encoders, umap.
• Computer Vision
• albumentations, timm, opencv, Segmentation, U-Net, Detection, Recognition.
• NLP
• regex, nltk, enchant, spacy, gensim, HuggingFace, Naive Bayes, BERT fine-tuning.
• Time Series
• statsmodels, pmdarima, prophet, LSTM, GRU, lagged Linear and Tree models.
• Miscellaneous
• optuna, imblearn, shap, scikit-optimize, gym for Reinforcement Learning.

Jan 2018 – Jan 2021 · 3 yrs

• Responsibilities
• Coordinated projects. Prepared grant applications and work plans, assigned tasks to employees, monitored progress, wrote papers and documentation. Mentored employees. Personally engaged in COMSOL numerical modeling and device optimization with Python. Communicated technical information with other teams. Performed company efficiency analysis and reviewed other teams results.
• Results
• Launched and brought to completion 4 scientific projects. Published 5 papers and a patent. Automated quarterly analysis and reports on scientific and financial results of the Laboratory and the whole company of 400+ employees.
• Technologies
• Python, Excel, COMSOL.

Jan 2015 – Jan 2016 · 1 yr

• Responsibilities
• Scientific research and engineering: computer modeling, mechanical drawings.
• Results
• Designed a nuclear battery and developed its resistance test method on an electron-beam accelerator. Published a paper.
• Technologies
• C++, Geant4 toolkit, Autodesk Inventor, Excel.

Jan 2011 – Jan 2021 · 10 yrs

• Responsibilities
• Coordinated projects. Communicated with customers. Analyzed ways to achieve required results. Developed prototype software for devices and for tabular experimental data analysis. Used numerical modeling to optimize device design. Wrote grant applications, documentation, papers and patents. Spoke at conferences. Organized joint experiments with other teams and companies.
• Results
• Launched and brought to completion 7 scientific and engineering projects. Published 11 papers and 5 patents. Developed software for two types of automated devices for diamond processing. Organized joint experiment at CERN.
• Technologies
• Python, C++, PHP, Excel, Autodesk Inventor, YOLO, Monte Carlo methods.

Jan 2009 – Jan 2012 · 3 yrs

• Responsibilities
• Conducted research. Used computational modeling. Spoke at conferences.
• Results
• Created a GUI software for experiment simulation. Wrote 14 papers and a PhD Thesis.
• Technologies
• C++, Java, Linux, bash, Geant4 toolkit, Monte Carlo methods.