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Machine Learning Engineer
- Considering positions:
- Machine Learning Engineer, Data scientist
- City of residence:
- Lviv
- Ready to work:
- Remote
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Anastasiia Dereshivska
Machine Learning Engineer
[open contact info ](look above in the "contact info" section) [open contact info ](look above in the "contact info" section)
[open contact info ](look above in the "contact info" section) github.com/AnDeresh
dereshivska
Summary
Machine Learning Engineer with over a year of commercial experience and a strong technical
background in mathematics, Python, NumPy, Pandas, LLMs, and NLP. Previously worked as a 3D
artist, where I developed a passion for AI as a tool to automate and simplify creative processes.
Completed a six-month intensive ML course and further strengthened my skills through real-world
projects and professional experience. Proven ability to work both independently and in team
environments, including freelancing.
Driven to design and deploy intelligent solutions that streamline workflows and improve people’s
lives.
Projects
Stripe Query Bot
RAG system to answer questions based on the Stripe API documentation
This project implements a Retrieval-Augmented Generation (RAG) system to answer questions based
on the Stripe API documentation. It uses the LLaMA model locally via Ollama for question
answering, and a FAISS index for efficient document retrieval.
Ship Segmentation using Deep Learning
Developed ship segmentation model utilizing deep learning techniques. The project involved
preprocessing images, and training a U-Net architecture to accurately segment ships from satellite
images. The project was implemented using Python, TensorFlow, and OpenCV.
Bank Term Deposit Prediction
It is a project focused on building a ML model to predict whether a customer will subscribe to a
term deposit at a bank. The project involves performing Exploratory Data Analysis (EDA) and
implementing various machine learning models to identify key factors influencing subscription
behavior.
Refy
Co-developed a bot utilizing Stable Diffusion to generate interior and exterior design images based
on user uploaded photos. The bot processes a base photo and a reference photo that reflects the
desired style, producing stylistic variants of the original room or building. This tool offers users a
seamless way to visualize and transform spaces according to their preferred aesthetic.
ㅤ
Professional Experience
2025/04 – 2026/03 ML engineer
Remote Toolza
• Research and integrate open AI/ML solutions into team workflows.
• Install, configure, and optimize LLM models according to the needs of
the team.
• Develop and fine-tune ML/LLM solutions for marketing and business
tasks.
2024/04 – 2024/11 Data Science Trainee
Data Loves Academy
Built and deployed end-to-end machine learning models in Python,
working with real-world datasets and applying techniques such as
regression, classification, and NLP. Solved practical business problems
through data analysis, feature engineering, and model optimization.
2021/11 – 2025/04 3D Artist with AI
Remote Freelancer on Upwork
Worked with advanced AI tools such as Stable Diffusion and
•
Midjourney.
Gained hands-on experience in installing and operating AI tools locally
•
for architectural visualization projects.
Collaborated directly with clients from the EU and the US.
•
2021/05 – 2021/11 3D-Artist
Lviv, Ukraine HISM - Architectural Visualisation Studio
Worked in a team on large projects for clients from all over the world.
•
2019/01 – 2021/04 Architect/Designer/3D-Artist
Lviv, Ukraine 1.618 - Architecture and design bureau
Utilized the waterfall methodology to manage and execute architectural
•
projects, ensuring structured and sequential project phases.
Participated in daily and weekly standups to enhance team collaboration
•
and streamline workflow.
Courses
Python for Time Series Data (Udemy, 15.5 hours)
•
Machine Learning (Data Loves Academy, 6 months)
•
Intro to Machine Learning, Intro to Programming, Python (Kaggle)
•
Fundamental understanding of statistics
•
Mathematics for Data Science
•
Skills Education
Python, NumPy, Pandas, Matplotlib, Seaborn, Bachelor's degree, Architecture
Sk-learn, PyTorch Lviv Polytechnic National University
2016 – 2020 | Lviv, Ukraine
Machine Learning Engineer
[
[
dereshivska
Summary
Machine Learning Engineer with over a year of commercial experience and a strong technical
background in mathematics, Python, NumPy, Pandas, LLMs, and NLP. Previously worked as a 3D
artist, where I developed a passion for AI as a tool to automate and simplify creative processes.
Completed a six-month intensive ML course and further strengthened my skills through real-world
projects and professional experience. Proven ability to work both independently and in team
environments, including freelancing.
Driven to design and deploy intelligent solutions that streamline workflows and improve people’s
lives.
Projects
Stripe Query Bot
RAG system to answer questions based on the Stripe API documentation
This project implements a Retrieval-Augmented Generation (RAG) system to answer questions based
on the Stripe API documentation. It uses the LLaMA model locally via Ollama for question
answering, and a FAISS index for efficient document retrieval.
Ship Segmentation using Deep Learning
Developed ship segmentation model utilizing deep learning techniques. The project involved
preprocessing images, and training a U-Net architecture to accurately segment ships from satellite
images. The project was implemented using Python, TensorFlow, and OpenCV.
Bank Term Deposit Prediction
It is a project focused on building a ML model to predict whether a customer will subscribe to a
term deposit at a bank. The project involves performing Exploratory Data Analysis (EDA) and
implementing various machine learning models to identify key factors influencing subscription
behavior.
Refy
Co-developed a bot utilizing Stable Diffusion to generate interior and exterior design images based
on user uploaded photos. The bot processes a base photo and a reference photo that reflects the
desired style, producing stylistic variants of the original room or building. This tool offers users a
seamless way to visualize and transform spaces according to their preferred aesthetic.
ㅤ
Professional Experience
2025/04 – 2026/03 ML engineer
Remote Toolza
• Research and integrate open AI/ML solutions into team workflows.
• Install, configure, and optimize LLM models according to the needs of
the team.
• Develop and fine-tune ML/LLM solutions for marketing and business
tasks.
2024/04 – 2024/11 Data Science Trainee
Data Loves Academy
Built and deployed end-to-end machine learning models in Python,
working with real-world datasets and applying techniques such as
regression, classification, and NLP. Solved practical business problems
through data analysis, feature engineering, and model optimization.
2021/11 – 2025/04 3D Artist with AI
Remote Freelancer on Upwork
Worked with advanced AI tools such as Stable Diffusion and
•
Midjourney.
Gained hands-on experience in installing and operating AI tools locally
•
for architectural visualization projects.
Collaborated directly with clients from the EU and the US.
•
2021/05 – 2021/11 3D-Artist
Lviv, Ukraine HISM - Architectural Visualisation Studio
Worked in a team on large projects for clients from all over the world.
•
2019/01 – 2021/04 Architect/Designer/3D-Artist
Lviv, Ukraine 1.618 - Architecture and design bureau
Utilized the waterfall methodology to manage and execute architectural
•
projects, ensuring structured and sequential project phases.
Participated in daily and weekly standups to enhance team collaboration
•
and streamline workflow.
Courses
Python for Time Series Data (Udemy, 15.5 hours)
•
Machine Learning (Data Loves Academy, 6 months)
•
Intro to Machine Learning, Intro to Programming, Python (Kaggle)
•
Fundamental understanding of statistics
•
Mathematics for Data Science
•
Skills Education
Python, NumPy, Pandas, Matplotlib, Seaborn, Bachelor's degree, Architecture
Sk-learn, PyTorch Lviv Polytechnic National University
2016 – 2020 | Lviv, Ukraine
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The candidate's resume is posted at https://www.work.ua/resumes/11150710/