Тетяна

Python developer
Tetiana Kuznetsova

Phone:
Telegram: @TetianaKuznetsova
Email: [відкрити контакти](див. вище в блоці «контактна інформація»)
LinkedIn: [відкрити контакти](див. вище в блоці «контактна інформація»)

I’m skilled in building and maintaining web applications while following SOLID principles and RESTful API best
practices. Experienced in applying design patterns and maintaining comprehensive documentation. Highly motivated
and proactive in problem-solving and continuous learning. Self-disciplined and efficient in remote work. Possess strong
communication skills, with the ability to collaborate effectively in cross-functional teams.

Experience
Python developer at ProstoPay, Ukrainian IT product company 2024 - now
Project: a custom solution for collecting and processing fiscalized sales data from partners, ensuring data relevance
and secure integration with multiple sources. The system was built for Ukrainian supermarket chains and optimized
for processing large volumes of transactional data.
My contributions:
led the full development cycle, from analyzing business requirements to designing the system architecture from
scratch,
created technical specifications based on defined business logic,
implemented core functionality, ensured efficient data processing and secure API access,
supported the Closed Beta testing phase,
developed and maintained comprehensive documentation,
delivered project presentations to the team.
Results: achieved successful collaboration with clients post-release. Optimized API responses, reduced processing
time and enhancing system performance. Successfully launched a stable and scalable solution for processing large
volumes of transactional data.
Tech stack:
Backend: FastAPI, SQLAlchemy, asyncio
Databases: PostgreSQL, MySQL (migrations automated via Alembic)
Containerization: Docker, Docker Compose
Caching & Rate Limiting: Redis
Authentication & Security: API keys for data access control
Data Validation: Pydantic (request & response validation)
Monitoring & Logging: Elastic/Kibana
Package Management: Poetry
Code Quality: Ruff, MyPy
Testing: Pytest

Project: ML-based service for optimizing inventory management, automatically tracking usage trends to reduce
waste and improve efficiency.
My Contributions:
worked under the mentorship of an experienced ML developer, gaining expertise in model evaluation and data
preprocessing,
implemented model versioning and performance tracking to compare training results and ensure continuous
ML model improvements,
created, validated, and evaluated datasets to ensure high-quality training data and enhance model accuracy,
refactored existing functionality and developed additional API endpoints to align the service with evolving
business requirements.
Results: our team successfully brought the project to the PoC stage, validating key assumptions and proving
feasibility for further development.
Tech stack:
Machine Learning: scikit-learn, NumPy, Pandas, pickle
Backend: FastAPI
Database: PostgreSQL

Project: an automated fiscalization system that integrates with the Ukrainian tax authority, simplifying business
registration, sales fiscalization, and data retrieval. The service supports all types of payments, provides customizable
configurations, and delivers detailed analytics for business partners.
My Contributions:
ensured compliance with fiscalization requirements by integrating with tax services,
developed automated issue tracking and resolution, reduced manual interventions,
configured delayed task execution, optimized workflows,
migrated historical transaction data,
optimized database storage and query performance, improved overall efficiency,
implemented caching mechanisms,
developed comprehensive test coverage,
provided hotfixes for clients, quickly resolved service disruptions.
Results: enhanced system security and data protection, improved financial transaction handling. Optimized database
transactions by reducing query execution time and improving service responsiveness. Improved system performance.
Tech stack:
Backend: FastAPI, SQLAlchemy, asyncio
Databases: PostgreSQL, Redis, RabbitMQ
Task Scheduling: Celery

Project: integration with a third-party geolocation API to enable device location tracking and visualization on a map.
My Contributions:
communicated with third-party API support teams, clarified system specifics and integration best practices,
studied API documentation, analyzed its features,
Identified deprecated libraries and replaced them with actively maintained alternatives.
Results: enhanced location accuracy, optimized data processing for more precise device tracking. Established clear
integration guidelines, improved collaboration between teams.