Ілля

ILLIA KRAVCHUK
S O F T WA R E E N G I N E E R
PROFESSIONAL PROFILE

Versatile Software Engineer with multi-language proficiency (Python, JS, C++, C#,
Phone Java) and a focus on scalable mobile and backend systems. Proven track record in
designing robust architectures, integrating AI/ML models into production, and
[відкрити контакти](див. вище в блоці «контактна інформація»)
configuring Linux-based infrastructure. Focused on code maintainability, system
Email reliability, and business value through technology.

[відкрити контакти](див. вище в блоці «контактна інформація») System Design & Clean Architecture Full-Stack Development

Stripe Integration Linux Administration
Location

Kyiv, Ukraine EXPERIENCE

TECH STACK Lead Mobile & Backend Developer 2025 – Present
Smart City Platform
Languages • Spearheading the development of a municipal platform using Flutter/Dart with
Clean Architecture + BLoC.
Python 3, Dart, JavaScript, C++, C#,
Java, SQL • Engineered scalable backend services using Python (FastAPI/PostgreSQL),
implementing JWT security, Docker, and Swagger documentation.
Frameworks & Backend • Built offline-first synchronization using SQLite/Hive and real-time alerting with
Firebase/WebSockets.
Flutter (BLoC, Provider), Django (MTV,
ORM), FastAPI (Swagger/OpenAPI), DevOps & Infrastructure Engineer (Trainee) 2025
RESTful API, WebSockets Municipal Information Center (GIOC) & EPAM Systems
• Configured virtualized corporate networks (Linux/Bash), managing routing, DHCP,
Infrastructure & DevOps NAT, and iptables firewall rules.

Linux (Ubuntu/CentOS), Docker, Bash, • Containerized municipal services with Docker and automated deployment
Git & Git-flow, IP-Routing, iptables, SSH workflows (Git-flow).
• Security: Conducted system vulnerability assessments, including analysis of
Databases spam/malicious traffic filtering and network security hardening.

PostgreSQL, SQLite, Firebase
KEY PROJECTS
AI & Data Science
Pneumonia Predictor (MedTech / AI) 2025 – 2026
TensorFlow / Keras (MobileNetV2), • Developed a Django web diagnostic pipeline integrating TensorFlow/MobileNetV2
OpenCV, NumPy (98.68% accuracy).
• Implemented low-latency PSI clinical scoring algorithms for real-time diagnostic
EDUCATION
risk assessment.
Master of Software Engineering RailFlow Ticket Booking System 2024 – 2025
• Developed a robust full-stack ticketing system using Python/Django and
Taras Shevchenko National University of
JavaScript.
Kyiv
2026 – 2028 • Integrated secure payment processing via Stripe API with transactional status
monitoring.
Bachelor of Software Engineering

Taras Shevchenko National University of
Kyiv
2022 – 2026