Особисті дані приховані

SAMOYLOV STAS
PYTHON BACKEND DEVELOPER

CONTACT WORK EXPERIENCE
Telegram LLC “ANNUNZIATA” Jun 2025 - Present
Mail Python developer
Specialization: Document processing systems, digital signatures, government
GitHub
API integration
Stack: MSSQL Server, FastAPI, Airbyte, SQLAlchemy, aiogram, Streamlit,
SKILLS asyncio, concurrent.futures, LangChain, Docker, GitHub Action, pytest
Developed a secure digital signature service that complies with Ukrainian
Python
legislation and interacts with QTSP (КНЕДП) and CSK, providing certificate
CRM / ERP management, cryptographic key operations, and signature
generation/verification in various formats. Ensured full controllability and
Flask / FastAPI / Django
integrity of processed documents.
API / RestFULL API We designed a solution to monitor the availability and performance of the
SQL / ORM (SQLAlchemy) corporate API of Ukraine's judicial information system. The system monitors the
status of court cases and updates it several times a day.
NoSQL / InMemory A system for automatic processing of multi-page PDF documents was
Scraping / Automation implemented. The complex algorithm included extraction of both structured and
unstructured data. The processing architecture includes a multi-stage pipeline
LLM / LangChain and the use of cloud LLM.
Pandas The final implementations optimized internal business processes and are
combined by creating a microservice architecture and orchestration into a single
Aiogram
system for automating document flow and legally important processes with
Asyncio deep integration into external government services.
Threading / multiprocessing LLC “Vse Dlya Zdorovya” Feb, 2024 - Dec, 2024
Linux Python developer Part-time

Git Specialization: Development of automated ordering system.
Stack: Aiogram, aiogram-dialog, asyncio, gspread, Redis, Docker, Linux.
Docker / CI/CD
An order processing system based on a Telegram bot was developed, which
includes the ability to create orders, track order status, receive up-to-date
LANGUAGES information about pharmacies, and interact with customer support.
English (Intermediate) The administrative part was implemented, which included all stages of order
Ukrainian (Fluent) processing and status changes, as well as direct communication through the bot.
Russian (Fluent) All key information was additionally integrated into Google Sheets for more
convenient tracking of order statuses for pharmacy employees.

EDUCATION Project “Tinder Ai Hub” Mar, 2023 - Dec, 2023
NAU / 2018 - 2022 y. Python developer
software engineer
Specialization: Desktop application for automating work in Tinder using AI
ITStep / 2014 - 2018 y.
Stack: OpenAI API, Selenium, asyncio, APScheduler, PyQT6, Aiogram
junior academy
When I started participating in the development, the project was already at the
MVP stage, which had the main functionality on Selenium for automating
MY CREDO interaction with Tinder.
I developed the bot's communication logic based on LLM using the OpenAI API.
The problem has only one fate
It included the direct process of chatting with a potential customer and saving
—
the current state of the chat so that it could be resumed.
to be solved.
A scheduler was also implemented to start and stop models to avoid account
blocking due to excessive activity, as well as a notification system in Telegram
about the scheduled start and end of work.
WORK EXPERIENCE

Logika School Sep, 2020 - May, 2024
Mentor Python developer Part-time

I worked as a Python mentor for students and high schoolers. We studied the basics of programming, basic syntax,
and built-in libraries. We mastered the Visual Studio Code and PyCharm development environments.
With older children, we studied the principles of OOP and SOLID and applied them when using libraries such as
PyGame, PyQt, Pandas, Flask, FastAPI, and others. We studied them starting from basic examples of simple launches
and ending with full-fledged projects with the possibility of scaling up.
These projects helped us master advanced practices and principles of software development for further use in the
professional sphere.

IT Smile Studio Dec, 2019 - Sep, 2020
Intern Mentor
In this team, I acted as a junior assistant, undergoing training on teaching materials and attending classes as an
observer and teaching assistant, with the aim of eventually leading groups of students independently. I got to know
the structure of the programs and methods of explaining the material, and also helped students with practical tasks.
At the same time, I actively studied Lua, Python and C#, working with examples of game mechanics, and learned
Unity as the main platform for game development. I also expanded my skills in front-end development, learning about
modern web technologies and practices.

PET PROJECTS
Tool for automatic code review. GitHub
Project description:
AutoReview connects to GitHub and OpenAI API to automatically analyze repositories and generate
responses/comments for review.
The project is designed for high load (100+ requests per minute) and offers approaches to scaling via asyncio-gather,
threads, and asynchronous loading of large repository directories.

Automated extraction and processing of court data. GitHub
Project description:
This application is designed for bulk downloading and parsing of court data from dsa.court.gov.ua and saving it to a
database. The script downloads archives, unpacks them, parses CSV files, and stores cases in MS SQL via SQLAlchemy,
using threads and processes to process large amounts of data faster.

PROFILE
I am a Python backend developer with a strong understanding of software engineering principles and experience
building and maintaining server-side application logic. I work with Flask and FastAPI to design and implement REST
APIs, have experience with Django, and confidently use both relational and NoSQL databases together with ORM tools
such as SQLAlchemy and Django ORM. I follow OOP and SOLID principles and apply asynchronous and multithreaded
approaches (Asyncio, multithreading) where performance and scalability are important.

I integrate external services and third‑party platforms via HTTP APIs, handling authentication, error processing, and
stability of interactions. I also work with large language models and use frameworks like LangChain to build
LLM‑powered features and connect models to external tools and data sources.

I am an ambitious, results-oriented person who sees complex tasks as opportunities for professional growth. The most
motivating part of my job is turning a problem that seems difficult at first glance into a clear, solvable task, and
overcoming such barriers allows me to constantly develop my technical knowledge.