EN | RU
Egor Makarenko
C++ / Python software developer
with an experience in robotics, computer vision and web services.
Looking for interesting algorithmic and infrastructure challenges.
IPhone:+7 (999) 203 83 35
#Email:egormkn@yandex.ru
}Telegram:EgorMakarenko
ïLinkedIn:EgorMakarenko
§GitHub:egormkn
Work experience
2024–2026 Software developer, Yandex Self-Driving Group LLC
–
Developed and supported ROS nodes (C++, OpenCV) for calibrating intrinsic parameters of cameras
and lidars on robotaxi and delivery robots.
– Applied Go for pipeline configuration using Protobuf messages.
–
Developed Python tools for debugging, data visualization and analysis using Boost.Python for gener-
ating bindings to C++ code.
– Wrote unit tests with Google Test, Pytest and Hypothesis.
– Performed experiments to develop a calibration method for lidars.
–
Redesigned the service architecture and set up automatic data collection, simplifying quality analysis
and making the process reproducible.
2022–2024 Software developer, Sudo LLC
–
Developed web-services using Python (FastAPI, Jupyter Widgets) and TypeScript (React, Redux, Next.js)
for performing scientific data analysis in geophysics.
– Accelerated calculations with NumPy, Numba and Dask.
– Used OpenCL to transfer some computations to the GPU.
– Set up CI/CD pipelines (build, tests, deploy) with GitLab CI, Docker Compose and Nginx-Proxy.
–
Provided technical consultations for students taking internships and completing their thesis at the
company.
2019–2020 Researcher Intern, ITMO University, International Laboratory "Computer Technologies"
– Developed tools in Java used for data analysis and visualization in bioinformatics.
– Researched solutions to the flux variance analysis problem using IBM CPLEX.
Education
ITMO University, Information Technologies and Programming Faculty
2019–2022 MSc, Applied Mathematics and Computer Science
Programming and Artificial Intelligence
Thesis: Accelerating calculations of first-order reversal curves using GPU computing.
2015–2019 BSc, Applied Mathematics and Computer Science
Mathematical Models and Algorithms in Software Development
Thesis: Solver for the FVA problem based on the reduction to mixed integer linear programming.
Extra courses
YSDA: Courses «C++ Language», «Parallel and Concurrent Programming» (2025) — Yandex
Coursera: Specialization "The Art of Modern C++ Development" (2021) — Yandex, MIPT
SPTDC: Summer school on practice and theory of distributed computing (2019) — JUG Ru
Professional skills
Ð Main development stack: C++ (STL, Boost, OpenCV, OpenCL, GTest, CMake, vcpkg, ROS, Arduino),
Python (NumPy, Numba, Dask, Cython, FastAPI, Pydantic, SQLAlchemy, Poetry, Matplotlib, Plotly).
Additional expertise in web development with TypeScript (React, Redux, Next.js, NestJS), HTML, CSS;
had some experience with Go, Java, Bash, SQL, x86 Assembly for work and study projects.
ú
I am familiar with basic algorithms and data structures, methods of machine learning, have
experience preparing datasets and training neural networks with PyTorch and TensorFlow.
{ I use Linux, Git, Docker, VSCode, and I am learning to use AI agents for development.
English – C1, Russian – native.
github.com/egormkn/cv • v2026.06.26
