Rabia Eda Yılmaz
AI/ML Engineer with experience in building ML systems, NLP applications, and data pipelines. Focused on solving real-world problems with scalable and practical AI solutions. Interested in LLMs, multimodal models, and retrieval-based systems.
LLMsNLPChatbotsMultimodal ModelsSemantic SearchRetrieval & RerankingData EngineeringDevOps & MLOps
What I’m working on
- Fine-tuning LLMs for domain-adapted assistants; benchmarking instruction-following and grounding.
- Chatbots with complex intent-flows: multi-turn state, tool/function calling, retrieval, and guardrails.
- Multilingual search systems: multilingual encoders, and lightweight reranking.
- Engineering data pipelines end-to-end.
- Surfing and open-source contributions: shipping small utilities, docs, and reproducible notebooks.
Experience
- Data Scientist — MDP Group (Apr 2025 – Present)
- AI Engineer — Albert Health (Jul 2023 – Apr 2025)
- ML Instructor — Google Developers Team @ inzva (Aug 2023 – May 2024)
Publications & Talks
Works in semantic search, multimodal extraction, and signal processing.
Skills & Stack
- Python, Go, C/C++, Bash
- PyTorch, TensorFlow, Hugging Face
- RAG, Transformers, Vector DBs (Pinecone, Qdrant)
- SQL (MSSQL, PostgreSQL, BigQuery, ClickHouse)
- AWS, GCP, Azure • Docker, Kubernetes • CI/CD
- Looker Studio, Metabase • FastAPI, Streamlit
Education
- M.Sc., Computer Engineering - Istanbul Technical University (2024)
- B.Sc., Biomedical Engineering - Yildiz Technical University (2019–2024)
Certificates
- Google Cloud - Professional Machine Learning Engineer
- TensorFlow Developer Certificate
Let’s collaborate
I work on design, validate, and ship practical AI-especially around LLMs, chatbots, multilingual search and evaluation. For consulting, projects, or talks, feel free to reach out.