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HELLO, WORLD. I’M

Matvei
Kiselev.

Backend DeveloperComputer Science TeacherTechnical Project Advisor

I build backend systems, teach computer science, and turn complex ideas into things that make sense.

Explore projects
+Engineer by practice. Teacher by mindset.
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THE CONNECTED MIND42 NODES
engineering education
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Backend Developer / Computer Science Teacher / Technical Project Advisor
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ENGINEERINGYandex
EDUCATIONHSE Lyceum
AT THE INTERSECTIONCode × People

02 / EXPERIENCE

Two worlds.
One mindset.

I like working where engineering and education meet. Building a system is one challenge. Making its ideas clear is another.

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Yandex

Backend Developer

ENGINEERING

Developing internal services and tooling for advertising infrastructure, with a focus on pre-release testing, validation, and engineering workflows.

FOCUSBackend systemsTesting & validationInternal tools
Turning changes into confidence.

HSE Lyceum

Computer Science Teacher

EDUCATION

Teaching advanced C++ and algorithms. Designing lessons, assignments, and programming contests that help students understand the reasoning behind the code.

FOCUSC++ & algorithmsProblem designProject supervision
Technical Project Advisor

Supervising software, data analysis, and ML projects. Serving on the student project evaluation committee.

03 / EDUCATION

The foundations.

Selected academic background in mathematics and computer science.

~/education / background.md02 entries
01 / UNIVERSITYIn progress

HSE University

National Research University Higher School of Economics

Faculty of Computer Science

Applied Mathematics and Informatics

Bachelor’s degree

02 / LYCEUM

HSE Lyceum

Lyceum of the National Research University Higher School of Economics

Mathematics, Engineering and Informatics

04 / PROJECT DIRECTORY

Built to learn.
Made to work.

Backend systems, image processing, travel tools, and patterns in data. Selected projects across software engineering and machine learning.

~/projects6 projects
More from the project directory// keep exploring
01
DATA ANALYSIS

T-Bank Dataset Analysis

May 2024

Statistical analysis of banking upsell acceptance, with hypothesis validation using decision-tree models.

Pythonpandasmatplotlibseabornscipy.stats
02
DEEP LEARNING

Image Classification with Deep Learning

Oct – Nov 2024

AlexNet fine-tuning and a CNN trained from scratch for image classification.

PythonPyTorchTorchVision
03
CLUSTERING & GEODATA

Retail Rationalization Analysis

Jan – Feb 2024

Geospatial analysis of Starbucks stores in London, with K-Means clustering and consolidation proposals.

PythonpandasgeopyfoliumK-Means
THE TOOLBOX

Technical stack.

WRITEC++Python
REASONAlgorithmsData structures
FRAMEWORKSFastAPIaiogramPyTorch

05 / NEXT CONNECTION

// good things start with a conversation

Let’s build something
worth understanding.

Engineering, education, or an interesting technical question. Let’s find out where the conversation goes.

DIRECT LINEmikiselev@edu.hse.ruNo forms. Just a conversation.
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~/matvei/projects / README.md