Дмитро

DMYTRO OLEKSIIENKO

CONTACTS
Phone: [открыть контакты](см. выше в блоке «контактная информация»)
Email: [открыть контакты](см. выше в блоке «контактная информация»)
Telegram: @Dmytro_Oleksiienko
GitHub: https://github.com/Dmytro-Oleksiienko
LinkedIn:[открыть контакты](см. выше в блоке «контактная информация»)
Web-site: https://portfolio-django-2h9f.onrender.com/
HARD SKILLS

Languages: Python
Frameworks & Libraries: Django, TensorFlow
Computer Vision: Object detection, dataset creation, annotation, augmentation, model evaluation (mAP50–95)
Database Tools: PostgreSQL
DevOps & Tools: Docker, Docker Compose, Git
Architectural Concepts: REST API, Microservices
Software Engineering: OOP, modular design, API documentation (OpenAPI/Swagger)

PROJECTS

Portfolio site – Python, Django FastAPI, Docker
• Developed and deployed a full-stack personal portfolio web application featuring responsive design and dynamic content management.
• Implemented a dual-framework backend architecture utilizing Django for robust administration and FastAPI for high-performance API endpoints.
• Integrated and configured a PostgreSQL database for reliable, scalable data storage and optimized query performance.
• Containerized the entire application ecosystem using Docker to ensure seamless environment parity between local development and production.
• Configured automated deployment workflows and hosted the application on Render, ensuring high availability and optimal resource utilization.

MineDetectorAI (BSc Diploma Project) – Python, YOLOv8/10/11, TensorFlow
• Developed an intelligent landmine detection system leveraging computer vision models optimized for edge devices (Raspberry Pi 4B, STM32F746, Nvidia Orin).
• Independently collected and prepared a custom dataset: sourced raw images, performed manual labeling via CVAT, cleaned and balanced data.
• Implemented advanced augmentation pipelines (rotation, flipping, lighting adjustments, blur, noise, mosaic augmentation).
• Trained and compared multiple YOLO architectures (YOLOv8n, YOLOv10n, YOLOv11n) to find optimal accuracy–performance balance for edge deployment.
• Tuned hyperparameters, confidence thresholds, and NMS settings to improve detection quality and maximize mAP50–95.

SOFT SKILLS

Responsibility & Reliability – always deliver work with maximum dedication, able to take ownership of tasks and ensure results
Strong Learning Ability – quickly adapt to new tools and technologies, continuously improving skills and knowledge
Goal-Oriented & Persistent – focused on achieving objectives, maintaining high motivation even in challenging conditions
Communication Skills – able to coordinate people, maintain positive relationships, and create a productive working environment
Attention to Detail – double-check work to avoid mistakes, ensuring high-quality results
Stress Resistance & Calmness – stay composed under pressure, make balanced decisions in difficult situations
Work Ethic & Determination – hardworking, disciplined, and committed to personal and professional growth
Problem-Solving Mindset – approach tasks thoughtfully, aiming for a deep understanding of the work
Team Collaboration – open, communicative, and easy to work with me

Languages:
English: B1
Ukrainian: Native

Hobbies:
Technology & Innovation – actively follow advances in AI, modern gadgets, software trends, and emerging tech solutions
Continuous Learning – enjoy exploring new tools, platforms, and technological breakthroughs to stay updated with the industry
Sports & Active Lifestyle – regularly engage in physical activity to stay healthy, focused, and productive

WORK EXPERIENCE

Online Store Specialist / Storekeeper – Symbol
21.01.2025 – 31.12.2025
Started as a trainee, then promoted to storekeeper and later appointed as the lead specialist of the online store
Inspected incoming and outgoing items for defects; recorded and categorized defective products in the internal system
Processed online orders: prepared items for shipment, packaged them, and coordinated dispatch
Accepted deliveries, checked product quality, and accurately entered items into the database
Maintained inventory accuracy through systematic updates and documentation
Supported sales staff by resolving questions related to online orders, product availability, and warehouse data
Ensured smooth coordination between warehouse operations and the online store

Administrator – SushiMaster
03.09.2024 – 31.12.2024
Started as a trainee and progressed to the administrator position
Worked with cash register operations: handled payments, closed and opened shifts, ensured accurate cash reports
Managed staff workflow, coordinated tasks, and maintained service quality
Communicated with customers, resolved conflicts, and ensured a positive dining experience
Oversaw inventory, controlled product availability, and helped manage daily logistics

EDUCATION

Name of the Education Establishment: NATIONAL TECHNICAL UNIVERSITY "KHARKIV POLYTECHNIC INSTITUTE"
Faculty/College: Faculty of Computer Science
Department: Artificial intelligence and machine learning
Degree: Bachelor's Degree with Honors
Years of study: 22.08.2022 – 15.06.2026

TRAINING COURSES

IT Training Program – SHAG Small Academy
Completed foundational courses in computer literacy, programming basics, and digital technologies.
Version Control with Git – Epam
Gained hands-on experience in software development workflows, focusing on version control with Git

Python Core. Data Practice – Epam
Focused on mastering core Python concepts, including Object-Oriented Programming (OOP), data structures, and practical data processing techniques.

English Language Courses
Ongoing study of English with focus on communication skills, grammar, and vocabulary development.