Yurii

YURIY VASCHINSKY
Backend/System software developer/Web Scraper
[відкрити контакти](див. вище в блоці «контактна інформація») [відкрити контакти](див. вище в блоці «контактна інформація») Poltava, Ukraine github.com/Sinfolke

SUMMARY
Development of real projects in C++ for 3.5 years, 5-6 months in python. Design complex systems,
Intermediate Representations, State Machines. Developer of advanced web scraping pipelines capable of
bypassing complex anti-bot protections. Adept at building clean, low-level abstractions and scalable
REST APIs from scratch.

LANGUAGES
English Ukrainian

TECHNICAL SKILLS
C++ Python
Primary development language and the favourite Leveraged for asynchronous backend
one. C++23 standard, C++20 modules, concepts, architecture, high-performance web automation
C++23 import std pipelines, and seamless integration with low-level
CMake C++ modules.
Vcpkg
Databases
Backend SQL, PostgreSQL, SQLIte
FastAPI, Docker

Projects
Phone Check Service, 03/2026
Commercial idea to help people check used phone before they buy it
Develop of backend with FastAPI with scraping involved for better user
experience. Develop of C++ application to scan Android and IOS devices using
usb connection. Perform advanced checks on server, allowing it send
commands to device for additional information.
Utilities used:
C++, Python
•

FastAPI
•

ADB, ADB protocol
•

libimobiledevice
•

Parser Generator C++ ISPA, 20/12/2024
transform parsing grammar file to the target language source code
Develop to the Infrastructure level a parser generator with many abstraction
layers, Intermediate Representations, Transformations.
Utilities used:
Cmake
•

Vcpkg
•
 Git
•

C++20 modules (across full project)
•

C++23 import std
•

Algorithms:
Kahn’s Algorithm (Topological sort)
•

Rabin-Scott (Subset Construction)
•

Hopcroft-style Partition Refinement
•

Depth-First Search
•

Examples:
header file⁠
input grammar⁠
JSON parsing grammar

Vacancy Analyze DSL, 05/2026 – 06/2026
custom DSL to analyze vacancy and return matching score
Engineered an interpreter that reads structured .vacl aliases and how they
should appear in vacancy using JSON vacancy input. Use simple local AI for
advanced matching and score generation.
Utilities used:
CMake
•

Vcpkg
•

nlohmann::json
•

Ukrainian Stemmer
•

libstemmer
•

curlcpp
•

icu
•

cld3
•

DSL example⁠
Example of output⁠