Ukraine's #1 job service
Анастасія
AI engineer
- Considering positions:
- AI engineer, Python-програміст
- Age:
- 27 years
- City of residence:
- Dnipro
- Ready to work:
- Remote
Contact information
The job seeker has entered a phone number .
Name, contacts and photo are only available to registered employers. To access the candidates' personal information, log in as an employer or sign up.
You can get this candidate's contact information from https://www.work.ua/resumes/14676307/
Uploaded file
Quick view
version
This resume is posted as a file. The quick view option may be worse than the original resume.
ANASTASIIA KHARCHENKO
AI Engineer
[open contact info ](look above in the "contact info" section)
[open contact info ](look above in the "contact info" section)
Telegram: @Kharchenko_Anastasia
Scopus ID: 57211625706
Github: KharchenkoAnastasia
SKILLS
Python, TensorFlow, Scikit-Learn, Pandas, Numpy, PostgreSQL, SQL, Docker, GitHub Actions, Label Studio,
Ruff, Pytest, Mypy, LLM, RAG, Chroma
CERTIFICATION
2024 – 2027 TensorFlow Developer Certificate
EDUCATION
Sep 2024 – Jan 2025 ML Zoomcamp from DataTalks.Club
Jun – Sep 2024 Mentoring program from Vona Tech Community
Jul – Sep 2023 ML Bootcamp Ukraine from Google
2016 – 2022 National University "Zaporizhzhia Polytechnic"
Master | Bachelor | Software engineering
WORK EXPERIENCE
Dec 2025 – Feb 2026 Python AI Internship, Meduzzen
Developed AI assistant with RAG architecture using OpenAI APIs
Integrated embeddings and vector search for context-aware responses
Implemented tool-calling, async processing, and structured prompt design
Improved response quality through similarity thresholds and fallback strategies
Mar 2022 – Dec 2025 Content Analyst, Jiji
• Reviewed and verified user-submitted listings
Collected, structured and analyzed user behavior data
Created detailed reports highlighting trends, anomalies and potential risks
Jul – Oct 2023 Data Science Intern, Lemberg Solutions
Processed and analyzed sensor data (accelerometer, gyroscope): artifact removal,
normalization, and signal filtering. Built and labeled a high-frequency dataset and
developed ML models (accuracy up to 0.85). Compared feature-selection methods and
evaluated performance metrics.
PERSONAL PROJECT
Ship segmentation
Developed a U-Net based deep learning model to perform binary segmentation of ships in satellite images as part
of the Kaggle Airbus Ship Detection Challenge
Tech stack: TensorFlow, Scikit-Learn, Numpy, Docker, GitHub Actions
Github: Airbus-Ship-Detection
ACHIEVEMENTS
15 scientific publications in Scopus, h-index=5
3rd place in the All-Ukrainian competition of student scientific works in the specialty "Computer Science"
2020/2021 for the research paper "Modified genetic algorithm to determine the location of the distribution power
supply networks in the city"
AI Engineer
[
[
Telegram: @Kharchenko_Anastasia
Scopus ID: 57211625706
Github: KharchenkoAnastasia
SKILLS
Python, TensorFlow, Scikit-Learn, Pandas, Numpy, PostgreSQL, SQL, Docker, GitHub Actions, Label Studio,
Ruff, Pytest, Mypy, LLM, RAG, Chroma
CERTIFICATION
2024 – 2027 TensorFlow Developer Certificate
EDUCATION
Sep 2024 – Jan 2025 ML Zoomcamp from DataTalks.Club
Jun – Sep 2024 Mentoring program from Vona Tech Community
Jul – Sep 2023 ML Bootcamp Ukraine from Google
2016 – 2022 National University "Zaporizhzhia Polytechnic"
Master | Bachelor | Software engineering
WORK EXPERIENCE
Dec 2025 – Feb 2026 Python AI Internship, Meduzzen
Developed AI assistant with RAG architecture using OpenAI APIs
Integrated embeddings and vector search for context-aware responses
Implemented tool-calling, async processing, and structured prompt design
Improved response quality through similarity thresholds and fallback strategies
Mar 2022 – Dec 2025 Content Analyst, Jiji
• Reviewed and verified user-submitted listings
Collected, structured and analyzed user behavior data
Created detailed reports highlighting trends, anomalies and potential risks
Jul – Oct 2023 Data Science Intern, Lemberg Solutions
Processed and analyzed sensor data (accelerometer, gyroscope): artifact removal,
normalization, and signal filtering. Built and labeled a high-frequency dataset and
developed ML models (accuracy up to 0.85). Compared feature-selection methods and
evaluated performance metrics.
PERSONAL PROJECT
Ship segmentation
Developed a U-Net based deep learning model to perform binary segmentation of ships in satellite images as part
of the Kaggle Airbus Ship Detection Challenge
Tech stack: TensorFlow, Scikit-Learn, Numpy, Docker, GitHub Actions
Github: Airbus-Ship-Detection
ACHIEVEMENTS
15 scientific publications in Scopus, h-index=5
3rd place in the All-Ukrainian competition of student scientific works in the specialty "Computer Science"
2020/2021 for the research paper "Modified genetic algorithm to determine the location of the distribution power
supply networks in the city"
Similar candidates
-
Промпт-інженер
50000 UAH, Remote -
Спеціаліст з ШІ
Remote -
AI-креатор
Remote -
Ai інженер
Remote, Kyiv -
.Net engineer
Remote -
AI Creator
Remote
Compare your requirements and salary with other companies' jobs:
The candidate's resume is posted at https://www.work.ua/resumes/14676307/