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Maksym

AI-розробник

Город:
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Maksym Demkiv
[открыть контакты](см. выше в блоке «контактная информация») | [открыть контакты](см. выше в блоке «контактная информация») | [открыть контакты](см. выше в блоке «контактная информация») | github.com/lDereQl

About me
Software Engineer with hands-on experience in full-stack development, AI integration, and agile leadership. Proficient in
Python, C, and JavaScript with a strong foundation in data-driven development and algorithm design. Passionate about
building scalable systems, working with LLMs, and driving innovation through machine learning and microcontroller
programming.

Experience
Team Lead March 2025 - Expected May 2025
Baltic Viper Kaunas, Lithuania
• Led a 5-member team in developing an AI-powered target lock and guidance system for FPV drones.

• Applied Scrum methodology to coordinate development sprints and manage project scope.

• Integrated microcontroller-based components for real-time drone control and telemetry analysis.

Software Engineering Intern January 2025 - March 2025
Hyand Kaunas, Lithuania
• Analyzed and benchmarked various LLMs for AI-assisted development tools using vLLM and Ollama.

• Designed and implemented backend logic for a shipping application using Domain-Driven Design.

• Evaluated performance and security implications of AI agent deployment in production workflows.

Projects
SmartFleet – AI-Powered Shipping Management Platform January 2025 – March 2025
• Technologies: Java, Spring Boot, JHipster, PostgreSQL, Docker, Ollama, Wireshark

• Developed a shipping management platform using JHipster’s microservices architecture.

• Integrated AI agents to enhance delivery logistics and forecasting capabilities.

• Monitored network traffic with Wireshark to detect and prevent third-party data leaks from AI tools.

Travel App – Personalized Travel Assistant February 2024 – May 2024
• Technologies: React Native, NodeJS, Python, MongoDB, Jira, Git

• Led a team of five developers to build a mobile travel assistant application.

• Applied Scrum methodology throughout development for sprint planning and delivery.

• Implemented a recommendation algorithm to suggest destinations tailored to user preferences.

Points of Interest Aggregator February 2024 – May 2024
• Technologies: Python, Django, React, PostgreSQL

• Designed algorithms for data collection, preprocessing, and semantic modeling.

• Applied KMeans and KNN for clustering and classification of textual and visual data.

• Built interactive dashboards to visualize research findings in a structured report.

Technical Skills
Programming Languages: Python, C/C++, Java, JavaScript, SQL (PostgreSQL, MySQL), R
Frameworks: Django, React, Spring Boot, JHipster, REST API
Libraries: pandas, NumPy, scikit-learn, Matplotlib, PIL, vLLM
Developer Tools: Docker, Git, VS Code, PyCharm, CLion, IntelliJ, Jira, Aider, Cursor, Wireshark
Developer Tools: LLM integration (Ollama, vLLM), Recursion/Classification trees, CNN, KMeans, KNN

General Skills
Softskills: Leadership, Communication, Teamwork, Analytics, Agile Project Management
Languages: English (C1), Ukrainian (Fluent), Russian (Fluent), Lithuanian (A1)

Education
Kaunas University of Technologies Kaunas, Lithuania
Bachelor of Arts in Computer Science – Artificial Intelligence Expected June 2026
Lviv Physics and Mathematics Lyceum Lviv, Ukraine
Aug. 2017 – May 2021

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