About Me

As a recent MSc graduate in Artificial Intelligence from Queen Mary, University of London, I am a young individual with strong knowledge of the mathematical concepts behind machine learning algorithms and the practical implementation of both simple and deep learning models for various tasks related to NLP, computer vision and biology.

In addition, I have approximately 3 years of software engineering experience, which translates to familiarity with the best coding practices and architectural designs, awareness of the technical and human resources needed for the completion of a project and ability to understand and solve complex technical issues. I am also capable of effectively presenting projects' progress to both technical and non-technical stakeholders.

Currently, I am editing my MSc research thesis on molecular biology, which is considered for a scientific publication, studying for AWS professional certificate and seeking for exciting business opportunities within the vast field of machine learning.

Recent Work

My Master's thesis on molecular biology

PathUTRNet - Prediction of signaling pathways and microRNA non-coding regions with deep learning


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Deep Networks for Image Classification

Exploring very deep convolutional networks based on VGG, ResNet, GoogLeNet principles.


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Book Search Engine

Team Project - A search engine, which utilizes 3 distinct vectorization methods for finding books through their description.


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Certifications