
Timeline
About me
AI Research Engineer at IPRally Technologies Oy
Education

Itmo university
2009 - 2015Master's degree computer scienceStudied in the Computer technologies department of ITMO University, which is famous for its performance in the international student programming contest ICPC. Received strong education in mathematics, algorithms and computer science.

Aalto university
2015 - 2019Doctor of science (technology)Finite-state model synthesis, formal software verification with model checking. Applications in industrial automation and nuclear I&C verification in particular. Thesis "Combined use of formal methods for reliability assurance of software for safety-critical systems". Joint PhD with ITMO University (Russia).

Jyväskylän yliopisto
2014 - 2015Master's degree software engineering and service designSynergies of IT and business, digital service design. Double master degree with ITMO University (Russia).
Experience

Itmo university
Jan 2012 - Jan 2021Search of adversarial examples for image classifiers with GANs and autoencoders, realistic text replacement on photos, verification of neural networks for a reinforcement learning approach for distributed baggage delivery. BSc, MSc and PhD thesis work in a growing computer science lab. Training discrete and hybrid systems using behavior data, analysis of chemical and gene expression data with machine learning, solving discrete optimization problems with metaheuristic algorithms. During the last four years, my work in ITMO University was connected with the one in Aalto University (joint PhD).
Research Fellow
Jan 2020 - Jan 2021Researcher
Jan 2012 - Jan 2019

Aalto university
Jan 2015 - Jan 2015TraineeInternship in the last year of master studies. Research on applying formal methods of software testing to industrial automation systems.

Aalto university
Mar 2015 - Jan 2021Research on practical applications of model checking in the nuclear instrumentation and control (I&C) industry. Automation of the logical analysis of I&C system architectures. Synthesis of finite-state models from behavior data and requirements, formal verification with model checking (in particular, verification of nuclear instrumentation and control systems). Teaching: formal methods of software analysis for automation systems, programming for PLCs and similar devices. Defended doctoral thesis in June 2019.
Postdoctoral Researcher
Jan 2019 - Jan 2021Doctoral Candidate
Mar 2015 - Jan 2019

Yandex
Jan 2021 - Jan 2022Software engineerImproving the quality and reducing the computational burden of automatic speech recognition in Alice, the virtual assistant from Yandex, especially for smart speakers. Large-scale deep learning, PyTorch, NLP.

Iprally technologies oy
Jan 2022 - nowAi research engineerImproving the recall of our neural patent search model, as well as keeping our code nice and tidy. Large-scale deep learning, PyTorch, NLP, graph neural networks.
Licenses & Certifications
- View certificate

Natural language processing
CourseraJan 2019 - View certificate

Getting started with google kubernetes engine
CourseraJan 2019 - View certificate

Bayesian methods for machine learning
CourseraJan 2019 - View certificate

Machine learning
CourseraJan 2019 - View certificate

Practical reinforcement learning
CourseraJan 2019 - View certificate

How to win a data science competition: learn from top kagglers
CourseraJan 2019 - View certificate

Introduction to deep learning
CourseraJan 2019
Honors & Awards
- Awarded to Igor BuzhinskySilver medal in Kaggle competition: Jigsaw Multilingual Toxic Comment Classification Kaggle kesä 2020 Participated in a team of two persons. In this Kaggle competition, the task was to use TPUs to identify toxicity comments across multiple languages. Our solution was mainly based on ensembling across multiple models and data sources. Place 73/1621 in the leaderboard.
- Awarded to Igor BuzhinskyBest presentation award at INDIN 2019 conference IEEE International Conference on Industrial Informatics (INDIN) heinä 2019 For presenting the paper Buzhinsky I. Formalization of natural language requirements into temporal logics: a survey. 17th IEEE International Conference on Industrial Informatics (INDIN). July 22–25, 2019, Helsinki-Espoo, Finland, pp. 400–406. IEEE, 2019
- Awarded to Igor BuzhinskyMSc (Applied mathematics and computer science) with distinction ITMO University kesä 2015
- Awarded to Igor BuzhinskyBest undergraduate student contribution to the student workshop Genetic and Evolutionary Computation Conference (GECCO) heinä 2014 For presenting the paper Buzhinsky I., Chivilikhin D., Ulyantsev V., Tsarev F. Improving the quality of supervised finite-state machine construction using real-valued variables. 16th Genetic and Evolutionary Computation Conference companion (GECCO 2014), ACM, New York, NY, US, July 12–16, 2014, pp. 1037–1040
- Awarded to Igor BuzhinskyBSc (Applied mathematics and computer science) with distinction ITMO University kesä 2013
Languages
- enEnglish
- ruRussian
- fiFinnish
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