Єлизавета

Elizaveta Shkuropatova​
Junior Machine learning Engineer
E-mail: [відкрити контакти](див. вище в блоці «контактна інформація»)
LinkedIn: [відкрити контакти](див. вище в блоці «контактна інформація»)
GitHub (optional): https://github.com/LizaShkuropatova
Phone/Telegram: [відкрити контакти](див. вище в блоці «контактна інформація») / @liza_shk​
Address: Ukraine, Odessa

Machine Learning and Python enthusiast eager to dive into the world of data science and AI.
Although I may be new to the commercial scene, my passion for machine learning and AI
knows no bounds. Armed with a solid foundation in Python programming and a thirst for
knowledge, I am equipped to tackle challenges head-on and contribute meaningfully to
projects.

I am a bachelor of Computer Science and my technical skills include knowledge in Python,
C/C++ programming languages, familiar with database work including PostgreSQL, MySQL. I
am looking for professional growth opportunities where I can contribute by developing myself.
I am also easy to get along with people as I have been involved in team projects.

SKILLS

Programming Python, С/C++, basic skills JS/TS
Languages

Platforms and AWS​
Tools Cohere, OpenAi, Lang Chain, LlamaIndex, FastAPI, Amazon Bedrock,
Docker, Streamlit, Django, PyTorch, NumPy, Pandas, Scikit-learn, Matplotlib

Database and SQL: PostgreSQL, MySQL; MongoDB, Firebase
Data
Management

Source Code Git/GitHub
Management,
Build, CI/CD

Other Skills UML diagrams, Trello, Miro

EDUCATION
Odessa National Polytechnic University​ 2025 - 2027
Master's degree in Computer Science
Odessa National Polytechnic University​ 2021 - 2025
Bachelor's degree in Computer Science
LANGUAGES
English - Intermediate – B1
Ukrainian - Native - С2

CERTIFICATIONS
AWS Technical Essentials
AWS Building Generative AI Application Using Amazon Bedrock, Foundations of Prompt
Engineering, Amazon Bedrock Getting Started, Planning a Generative AI Project, Introduction
to Generative AI - Art of the Possible.

EMPLOYMENT HISTORY

Mobile application for creating a multiplayer interactive stories: GitHub
01.04.2025 - 30.06.2025

Developed a full-stack mobile/web application that enables users to collaboratively create
interactive stories using AI:
●​ Conducted analysis of existing analog applications and selected appropriate
technologies. Defined the project’s goals, tasks, user types, and specified all
functional and non-functional requirements.
●​ Designing an architecture using MVC pattern and client-server model using UML
diagrams (interface view, deployment, layers, processes, data, algorithms, and class
diagrams).
●​ Developed a modular backend using Python, FastAPI, and Firestore, including the
implementation of multiplayer logic.
●​ Integrated OpenAI GPT models for content generation (story text, dialogs, choices,
settings, character traits, story and character helper creator).
●​ Designed the frontend using Nuxt 3 (Vue 3), TypeScript, and Bootstrap 5.
Technologies: Python, FastAPI, OpenAI API, Firebase (Firestore, Storage, Auth), Vue 3, Nuxt 3,
TypeScript, Bootstrap 5, Pinia, Git, GitHub.

Provectus​
Junior Machine Learning Developer 02.01.2024 - 30.05.2024
Projects AI Agent using LLM:
●​ Developed two projects with the team using different LLMs with web search access,
different API, analysis and output for the users.
●​ Evaluated and fine-tuned machine learning algorithms to achieve optimal performance
and accuracy.
●​ Continuous Learning: Actively seeking opportunities for learning and skill
development in machine learning techniques, algorithms, and tools to enhance
expertise and contribute effectively to project objectives.
 ●​ Collaboration: Collaborating with cross-functional teams, including data engineers,
software developers, and domain experts, to understand project requirements and
integrate machine learning solutions into end-to-end workflows.
●​ Communication: Communicating project updates, findings, and challenges effectively
with team members and stakeholders, participating in team meetings, and providing
regular progress reports to supervisors.
●​ Documentation: Documenting the development process, model architecture, and
experimental results to maintain a record of project progress and facilitate knowledge
sharing within the team.
Technologies: Python, Cohere, Chat-GPT, Lang Chain, LlamaIndex, Amazon Bedrock, AWS,
Docker, Lambda, Streamlit, Prompt Engineering, Data Preprocessing, Machine Learning
Algorithms, Model Deployment.

Software product "Obtaining ambient humidity data to maintain mental and emotional
stability..": GitHub
●​ Software Requirements compilation (Determining Consumer Needs, Business
Requirements For Software, SoftwareUserRequirement, Func and Non Func
Requirements, Software Project Planning)
●​ Software Design
●​ Software Construction
Technologies: Java, SQL, MySQL, UML diagrams.