Анастасія

Anastasiia Kharchenko
AI Engineer
CONTACT
Phone
[відкрити контакти](див. вище в блоці «контактна інформація»)
Email
[відкрити контакти](див. вище в блоці «контактна інформація»)
Telegram
@anastasiia_kh_dev
GitHub
KharchenkoAnastasia
Scopus ID
57211625706
SKILLS
AI & LLM
• Prompt Engineering
• RAG architecture
• OpenAI API, Whisper
• LLM Evaluation
• Embeddings & Vector Search
Programming
• Python
• SQL / PostgreSQL
ML & Data
• Scikit-Learn, TensorFlow
• Pandas, NumPy
Tools
• Docker
• GitHub Actions
• Label Studio
• Pytest, Mypy, Ruff

CERTIFICATION
TensorFlow Developer Certificate
EDUCATION
ML Zoomcamp from DataTalks.Club
Sep 2024 – Jan 2025
Mentoring Program from Vona Tech Community
Jun – Sep 2024
Data Science Summer Camp at Lemberg Solutions
Jul – Oct 2023
ML Bootcamp Ukraine from Google
Jul – Sep 2023
Master | Bachelor
Software Engineering
Zaporizhzhia Polytechnic
2016 – 2022
SUMMARY
With 4 years of experience analyzing seller behavior and marketplace data as a Content Analyst, I am transitioning into AI Engineering. I hold a TensorFlow Developer Certificate and have hands-on experience in business process automation. In particular, I developed an AI-powered assistant leveraging LLMs, vector search, and semantic analysis for ad classification, significantly reducing manual processing time and improving operational efficiency. I regularly participate in training camps and mentoring programs, demonstrating my commitment to continuous professional development in AI and data analytics. I am eager to apply my expertise in data analysis, AI-driven solutions, and process automation to build intelligent systems and deliver impactful, data-driven solutions that create measurable business value.
WORK EXPERIENCE
Python AI Internship - Meduzzen
Dec 2025 – Feb 2026
• Developed AI assistant with RAG architecture using OpenAI APIs
• Integrated embeddings and vector search for context-aware responses
• Implemented audio transcription via OpenAI Whisper API, automatically indexing content for semantic search
• Implemented tool-calling, async processing, and structured prompt design
• Improved response quality through similarity thresholds and fallback strategies
Content Analyst - Jiji
Mar 2022 – Present
• Developed an AI-powered moderation assistant to automatically classify listings and identify prohibited content using LLMs (OpenAI API), vector databases, and semantic search, significantly reducing manual moderation time
• Collected, structured, and analyzed user behavior data to identify trends, anomalies, and potential risks
• Prepared analytical reports to support moderation decisions and improve platform safety
PERSONAL PROJECT
Ship Segmentation (Kaggle Airbus Ship Detection Challenge)
Developed a U-Net based deep learning model to perform binary segmentation of ships in satellite images.
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"