Марина

MARYNA BAKUN

[відкрити контакти](див. вище в блоці «контактна інформація»)

[відкрити контакти](див. вище в блоці «контактна інформація»)

[відкрити контакти](див. вище в блоці «контактна інформація»)
certificate of mate academy:
https://bit.ly/bakun-certificate
Skills:
• Python
• OOP
• GitHub / Git LFS
• PyTorch
• Computer Vision (EfficientNet)
• NLP (Transformers/DistilBERT)
• Multimodal Learning
• Django / ORM / REST framework
• Flask
• FastAPI
• Docker / Docker Compose
• HTML / CSS
• SQLite / PostgreSQL
• NumPy / Pandas
• JavaScript (basic)
• Node.js (basic)

Languages:
• English: Intermediate (B1)
• Ukrainian: Native (C1)

junior data scientist | Ai/ml engineer
SUMMary:
Junior Data Scientist | AI/ML Engineer with hands-on experience in training machine learning models through personal project. Mate Academy Certified Python Developer with a solid understanding of software engineering principles and the ability to quickly learn complex technologies. Built a multimodal AI system using PyTorch, EfficientNet, and NLP techniques. Experienced in model evaluation, overfitting, and hyperparameter tuning. Continuously expanding knowledge in machine learning and eager to contribute to real-world AI/ML products.
EDUCATion:
Mate Academy | Python Developer (Professional Certificate)
Jan 2025 — Nov 2025 (Phase 1: Professional Certification)
Nov 2025 — Present (Phase 2: Advanced AI/ML Specialization))

Description:
• Successfully completed an intensive professional program, building deep expertise through 527+ hands-on coding tasks.
• Mastered the Python ecosystem, including Advanced OOP, Data Structures, and Algorithms.
• Gained practical experience in building and deploying web applications and working with relational databases.
• Post-certification focus (Nov 2025 – Present): Dedicated to Machine Learning and Deep Learning, developing multimodal AI systems (PyTorch, CV, NLP).
my portfolio projects:
MemeSense | Multimodal AI Classifier:
https://github.com/MiKPo4eLiK/MemeSense
Description:
• Developed a multimodal deep learning system that classifies memes with high accuracy by analyzing both visual content and embedded text.
• Engineered a hybrid architecture combining EfficientNet-B2 (for Computer Vision) and DistilBERT (for NLP) using PyTorch.
• Implemented a custom Feature Fusion Layer to merge embeddings from different data modalities into a single classification pipeline.
• Integrated Tesseract OCR and OpenCV for automated text extraction and image preprocessing.
• Built a user-friendly web interface with Flask for real-time model inference and prediction visualization.
• Managed large-scale model weights using Git LFS, ensuring efficient version control for deep learning assets.
Stack: Python, PyTorch, Transformers (HuggingFace), OpenCV, Flask, Git LFS, Tesseract OCR.

IT-Company Task Manager | Full-Stack Web App:
https://github.com/MiKPo4eLiK/IT-company-task-manager
Description:
• Developed a comprehensive task management system for IT teams, featuring role-based access control and project tracking.
• Built a robust backend using the Django framework, implementing complex Model-View-Template (MVT) architecture.
• Designed and optimized a relational database (PostgreSQL) to manage relationships between employees, tasks, and project types.
• Implemented advanced features: custom search filters, secure employee authentication, and dynamic task assignment.
• Deployed the application to Render, managing environment variables and static file hosting for a production-ready environment.
• Focused on Clean Code and SOLID principles to ensure the scalability and maintainability of the codebase.
Stack: Python, Django, PostgreSQL, HTML/CSS, Git, Render.

Airport API Service | RESTful API & Containerizati
https://github.com/MiKPo4eLiK/airport-API-servise
Description:
• Developed a scalable RESTful API for managing airport operations, flight scheduling, and ticket booking systems.
• Leveraged Django REST Framework (DRF) to implement robust API endpoints with JWT-based authentication and permission levels.
• Containerized the entire application stack using Docker and Docker Compose, ensuring consistent development and production environments.
• Integrated Swagger UI (drf-spectacular) for interactive API documentation and testing.
• Managed a PostgreSQL database with complex relations, optimized through Django ORM migrations.
• Implemented secure order processing and real-time flight data retrieval with automated validation logic.
Stack: Python, Django REST Framework, Docker, Docker Compose, PostgreSQL, JWT, Swagger.