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Stanislav Tataren
AI/ML Engineer
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Links tatarenstas tatarenstas stanislav-tataren

Summary Motivated junior ML & AI developer with practical experience in Python, classical machine
learning, deep learning, and NLP. Familiar with Scikit-learn, TensorFlow, PyTorch, OpenCV,
and Transformers. Worked on projects involving semantic search, embeddings, computer
vision, and time-series data. Interested in applied AI, including LLM-based agents and tools
like LangChain, and eager to grow through real-world projects.

Experience VERV Digital Jan 2025 - Mar 2025
ML Intern
Developed predictive models for real estate price forecasting using Python and XGBoost

Conducted data cleaning, feature engineering, and experimental design
Wrote reproducible ML pipelines with evaluation reports

Meduzzen May 2025 - Jul 2025
AI/ML Intern
Built a full-stack AI assistant using OpenAI API, Whisper, and FAISS

Integrated features like voice input, semantic memory, tool calling, and multilingual
support
Designed CLI interface with streaming responses, session memory, and logging

Education Yuriy Fedkovych Chernivtsi National University Sep 2024 - Present
Computer Science
Studying Computer Science at Yuriy Fedkovych Chernivtsi National University. Most of my
technical skills and AI/ML knowledge come from self-directed learning and practical
experience. I focus on Python-based development, machine learning, NLP, computer vision
and building real-world AI tools.

Skills Skills, Languages & Tools:

Python, Git, Jupyter Notebook, Docker, Markdown, GitHub workflow, Streamlit, PostgreSQL

Libraries & Frameworks:
NumPy, Pandas, Matplotlib, Scikit-learn, XGBoost, TensorFlow, PyTorch, OpenCV, NLTK,
spaCy, Hugging Face Transformers, FAISS, LangChain

Machine Learning & AI:

LLMs, deep learning (CNN, RNN, LSTM), embeddings, prompt engineering, OpenAI API
(GPT-4o, Whisper), semantic search, data cleaning, time-series analysis

NLP & Computer Vision:

Text summarization, speech-to-text, document matching, RAG-based search, keypoint
detection (SIFT), tracking, detection, recognition

Languages English Ukrainian
Intermediate Native speaker