Резюме C++/Rust Developer

Nazar *******

CV

I am a dedicated third-year Computer Science student who possesses a strong enthusiasm for
engineering, science, and machine learning. My ultimate goal is to embark on a professional path that
enables me to delve into and employ these areas of interest. Equipped with excellent communication
abilities and a genuine passion for my field, I am continuously in search of fresh challenges and
prospects that foster personal development and knowledge expansion.

*********************** (mailto:***********************)

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Lviv / Lutsk, Ukraine

linkedin.com/in/nazar-
******* (https://www.linkedin.com/in/nazar-*******/)

github.com/frezario (https://github.com/frezario)

SKILLS

Rust (tauri, rocket.rs,
diesel)

C/C++

Embedded

Python (NumPy, Pandas,
Matplotlib)

English B2

R

ReactJS

HTML/CSS

LANGUAGES

English

Professional Working Proficiency

Ukrainian

Native or Bilingual Proficiency

PREFERENCES

AND INTERESTS

Volunteering

Sports

Music

Break Dance

Physics & science

Books

Self-development

EDUCATION

School

Educational Complex 9

09/20************

,

Lutsk

Primary and secondary education

Math-oriented

University

Ukrainian Catholic University (Computer Science)

09/2021 - Present

,

Lviv

Higher education

Algorithms

Calculus

Embedded & Robotics

Probability & Statistics

Linear Algebra

Parallel computing

Computer Architecture

PET PROJECTS

Axon (Neural Network Library) (05/2020 - Present)

With a team of students, I developed Axon - a simple-to-use, fast, and concurrent machine-learning library

capable of performing different tasks, including class recognition, object detection, and various kinds of

predictions. Allows creating sequential and inconsequential models. Entirely written in C++ using Boost,

TBB and Eigen. 

UALit GPT (09/20************) 

With a team of CS students, we created a project of refining the GPT model output and analyzing its latent

space. We implemented a simple decoder-only GPT model, trained it on the dataset of Ukrainian authors,

and applied several algorithms like matrix completion, clustering, and semantic search to enhance model

output. We also used t-SNE to visualize and analyze its latent space. 

Kitchen Chronicles (02/2023 - Present) 

I implemented a recipe-book web app. Allows to search for recipes by different types of ingredients,

exclusions, and cuisines. Provides detailed information about each dish and enumerates consecutive steps

of the recipe. Written using ReactJS at the front end and Rust (Tauri and diesel) at the back end. 

ACHIEVEMENTS 

Winner of the Ecosoft tournament (Minor Science Academy of Ukraine) (2020) 

A countrywide competition for the best startup idea: a replacement of the consultants with QR technology. 

Education 

Education