Enis Başkapan

I am a software engineering graduate with professional experience in data science and LLM development, focused on building practical ML systems and production-ready AI pipelines.

At Imperum I researched and optimized LLM pipelines, implemented quantization, fine-tuning and RAG techniques, and managed hybrid AI deployment architectures integrating local and cloud models.

At Ditravo I contributed to AI projects for Turkish Republic Railways, built a voice-command ticket search service with spaCy, and developed dynamic pricing models using XGBoost and LightGBM.

I build scalable solutions using FastAPI and Docker, engineer embedding and similarity-search pipelines with vector databases, and design AutoML tooling to automate supervised learning workflows.