Hi, I'm Caner Olcay
ML Engineer building production RAG systems, forecasting pipelines, and applied AI architectures.
Focused on real-world ML systems, not just notebooks.
About Me
Caner Olcay
ML Engineer
1+ year
ML Experience
5+
Production Systems
3+
RAG Architectures
End-to-End
ML Pipelines
I'm a Machine Learning Engineer focused on production RAG systems, forecasting pipelines, and applied AI architectures. I build end-to-end ML systems combining LLM workflows, knowledge graphs, and deep learning with a strong focus on architecture, evaluation, and reproducibility.
Focus
- LLMs & RAG
- Knowledge Graphs
- Forecasting
Currently
- ML Engineer at Solvro
- Building KG-RAG
- Building Lucid
Looking For
- Data Scientist roles
- ML Engineer roles
- Applied AI Engineer
- Production ML systems
Research
Thesis Title:
Tensor Decomposition-Based Modeling and Forecasting of Multivariate Signals
Investigating tensor decomposition methods (CP, Tucker, TT, TR, TW) for modeling multivariate time series and improving forecasting accuracy and interpretability compared to classical approaches.
- Low-rank tensor representations
- Multidimensional temporal modeling
- Experimental evaluation
- SCADA wind turbine datasets
Projects
Lucid – AI Notes Platform
OCR → RAG system
AI-powered intelligent note-taking platform with lecture OCR, vector search, and AI-driven Q&A over student materials.
Get in Touch
Whether you have a project in mind, want to discuss ML/AI opportunities, or just want to connect about AI/ML engineering, I'd love to hear from you. I typically respond within 24 hours.
Send Me an Email