Svitlana D.

Hi there 🏄🏻‍♀️ Passionate Machine Learning Engineer dedicated to turning data into innovative solutions. Deeply engaged in ML and Data Science and currently advancing skills in Artificial Intelligence Systems at Kharkiv National University of Radio Electronics. Always excited to explore fresh ideas, solve complex challenges, and connect with fellow tech enthusiasts! My Skills 👩🏻‍💻 Data Science: Python, Pandas, NumPy, Scikit-learn, XGBoost, PyTorch, Transformers, Computer Vision, Yolo, RAG, OpenAI API, prompt engineering. Data Visualisation: PowerBI, Tableau, Seaborn, Matplotlib. Databases: MySQL, Postgres, NotionDatabase(NoSQL), FAISS, Weviate. Version Control: Git, GitHub ACHIEVEMENTS 2nd place, Google AI Hackathon, Jun 2025 4th place, Vibecoding Hackhaton by UniverseGroup, Oct 2025 keywords: Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Neural Networks, Natural Language Processing (NLP),Computer Vision, Reinforcement Learning, Supervised Learning, Unsupervised Learning, Semi-Supervised Learning, Transfer Learning, Generative AI, Large Language Models (LLMs), Data Science, Feature Engineering, Model Training, Hyperparameter Tuning, Overfitting & Underfitting, Model Optimization, Explainable AI (XAI), AI Ethics, AI Bias, Fairness in AI, AI Governance, Responsible AI, Prompt Engineering, Zero-shot Prompting, Few-shot Prompting, Chain-of-Thought (CoT), Self-Consistency Prompting, Instruction Tuning, Retrieval-Augmented Generation (RAG), Prompt Optimization, Context Length, System Prompt, Temperature (AI Sampling), Top-k & Top-p Sampling, Token Limit, Embeddings, Fine-tuning, Hallucination (AI-generated misinformation), Prompt Injection, Role-based Prompting, Meta-Prompting, AI-assisted Writing, LLM APIs, OpenAI (GPT, ChatGPT), Google Gemini (formerly Bard), Meta LLaMA, Anthropic Claude, Hugging Face, TensorFlow, PyTorch, LangChain, Vector Databases (e.g., Pinecone, Weaviate, ChromaDB), OpenAI API, PromptFlow, LlamaIndex, Computer Vision, CV, YOLO, Object Detection, CNN