
Machine learning and quantitative data analysis specialist
Finance
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Languages
Russian
English
Skills
Python
Data analysis
Machine Learning
Data Science
Linux
R
TensorFlow
C/C++
Docker
Kubernetes
Computer Vision
Deep learning
LLM
NLP
PyTorch
Git
OpenCV
English language
Machine learning
DevOps
Work experience - 7 years
Finance | Quantitative researcher |
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Experience: 2 years | Responsible for creating automated trading strategies based on machine learning and statistical analysis. Conducted research of market data, identified and formalized potentially profitable dependencies. Developed and implemented trading strategies based on statistical patterns, performed back-testing of strategies on historical data, assessed their effectiveness, stability, and business potential. Optimized the existing model evaluation pipeline, reducing the error in predicting returns and drawdown. Created a model, launched in production and actively used. Utilized machine learning and deep learning approaches. |
IT | ML engineer |
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Experience: 1 year | Responsible for the ML part of several projects, from initial concept to final implementation, encompassing ML logic, backend, and DevOps aspects. Developed a model for medical image analysis, involving data labeling and training a neural network for semantic segmentation. The resulting model is applicable to various solutions. Implemented a service for image manipulation, selecting and integrating an appropriate architecture, building a data processing pipeline, and deploying it to production. Developed a solution for real-time processing within a browser environment. Created a web service for generating user interfaces based on text requests. Integrated various APIs to facilitate this process and built a robust server architecture with monitoring and logging capabilities. |
Automotive industry | ML Engineer |
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Experience: 1 year | Developed a system for identifying individuals using advanced neural networks and integrated it into a final product. Trained a model to recognize human emotions from visual data and successfully implemented it. Designed and implemented a system for synchronizing and displaying video feeds from multiple sources. Utilized machine learning and deep learning approaches including face detection, recognition, and image classification. |
IT | ML Engineer |
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Experience: 2 years | Responsible for the ML part of a new product, including data collection and labeling, model architecture selection and optimization, metric tuning, training, and deployment to production. Project involved creating a service utilizing AI. Developed and implemented an object recognition system. Built and trained models for image classification and extraction. Designed and implemented a production pipeline and server architecture, ensuring high performance and scalability. Conducted neural network optimization using advanced techniques. The product was successfully launched and continues to function. ML/DL approaches included image detection and classification, model optimization, and speech-to-text. |
IT | Software Engineer |
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Experience: 1 year | Development and adaptation of software for mobile devices. Work on optimizing the platform for various devices. Use of various programming languages and technologies to ensure the stable and efficient operation of mobile applications. |
Education
Finished | x2 | Higher School of Economics / Information Technology |
Finished | x1 | OTUS / Information Technology |
Finished | x1 | Educational institution / Information Technology |
Languages
Russian
English