Anton Rapetov

Data Scientist

https://talent.gravityer.com/anton-rapetov

The Solar SystemMember since June 23, 2026

Key Strengths

Demonstrated interest in Machine Learning through the 'learn-ml' project.
Exposure to various programming languages including Rust, C++, Java, Kotlin, and Python (implied by Jupyter Notebook for ML).
Experience with system-level programming and scripting (Rust, C++, Shell).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows a strong inclination towards personal projects and exploration of diverse technologies. The 'learn-ml' project indicates an interest in the target role of Data Scientist, but the majority of projects are not directly related to data science. The breadth of technologies suggests a curious and self-driven individual, which can be a positive cultural fit for an innovative environment, but direct alignment with data science practices is limited.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's projects are primarily personal and lack team collaboration context.

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Projects

nvim-config

October 2, 2023 – January 26, 2024

My NeoVim Config Stuff

View Project

learn-ml

November 16, 2022 – November 16, 2022

Learning Machine Learning

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cargo-ndk-android-gradle

November 17, 2019 – July 8, 2024

Cargo NDK for Android projects

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jspp-llvm-benchmark

August 23, 2019 – September 7, 2019

jspp-llvm-benchmark — repository

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client-android

June 26, 2019 – September 6, 2019

The android client for the stream audio project.

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server

June 26, 2019 – October 6, 2019

server — repository

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ffmpeg

June 26, 2019 – June 27, 2019

The rust ffmpeg wrapper

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get-space-info

May 17, 2017 – May 17, 2017

get-space-info — repository

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DNAReader

November 21, 2014 – January 31, 2015

DNAReader — repository

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LinuxScript

February 27, 2012 – August 4, 2012

Some scripts for linux, windows and other

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Key Strengths

Demonstrated interest in Machine Learning through the 'learn-ml' project.
Exposure to various programming languages including Rust, C++, Java, Kotlin, and Python (implied by Jupyter Notebook for ML).
Experience with system-level programming and scripting (Rust, C++, Shell).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's projects are primarily personal and lack team collaboration context.

Anton Rapetov

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit