Роман

EDUCATION HISTORY
Taras Shevchenko National University of Kyiv

Master’s Degree in Computer Engineering
(Specialty 123)
2026 - Present

Bachelor’s Degree in Computer Engineering
(Specialty 123)
2022 - 2026

PROJECT EXPERIENCE
Natural Language Video Moment Retrieval (NLVMR) |
AI, Python, Streamlit Bachelor's Degree Project

2025-2026

Architected a hybrid multimodal AI retrieval system,
bridging complex machine learning models with
interactive front-end interfaces.
Integrated SigLIP embeddings and the Gemini API to

ROMAN enable advanced natural language video search and
context extraction.

KRYVUTSIA
Designed and implemented highly efficient similarity
search pipelines using Qdrant vector databases.

Scalable Mobile & Web Applications | Flutter, Dart,
TRAINEE/JUNIOR AI & LLM
React NativeCustom Projects & Portfolio |
DEVELOPER
2026

PROFILE INFO Developed scalable mobile and web architectures
A Computer Engineering graduate from focusing on responsive UI, demonstrating the ability
Taras Shevchenko National University of to build robust client-side interfaces for cloud-based
Kyiv with a strong focus on Artificial AI services.
Intelligence and Large Language Models. Managed complex state and RESTful API integrations
Experienced in designing hybrid AI data to ensure smooth asynchronous data fetching and
retrieval systems, integrating multimodal local storage management (SQLite, AsyncStorage).
models (SigLIP), and leveraging the Gemini Configured build settings, generated release
API. Passionate about building scalable keystores, and successfully deployed applications for
software architectures around generative closed beta testing via Google Play Console.
AI, vector databases (Qdrant), and prompt
engineering. Eager to apply my background
in complex system architecture and API
integration to a Trainee or Junior AI
SKILLS
Developer role, creating intelligent, data- AI, ML & Architecture: Gemini API, Large Language Models
driven solutions. (LLMs), Prompt Engineering, SigLIP Embeddings, Vector
CONTACT Databases (Qdrant), System Architecture.

Programming Languages: Python, Dart, C++, C, SQL.
[відкрити контакти](див. вище в блоці «контактна інформація»)
Databases & Data: PostgreSQL, MariaDB, SQLite, RESTful
[відкрити контакти](див. вище в блоці «контактна інформація»)
APIs, Asynchronous operations.
https://github.com/Kryvutsia-Roman
Frontend (UI for AI): Streamlit, Flutter, React, React Native
[відкрити контакти](див. вище в блоці «контактна інформація») (Expo).

Tools & VCS: Git, GitHub, VS Code, Android Studio.