Hi, I'm Can 👋
Applied Data & AI Engineer building production RAG systems, PostgreSQL/TimescaleDB analytics, and machine learning workflows for logistics, IoT, and operational data.
I work across Python, SQL, FastAPI, PostgreSQL, TimescaleDB, PostGIS, pgvector, LangChain, LangGraph, Ollama, and Docker, with a focus on turning high-volume telemetry and business data into reliable analytics, AI assistants, and decision-support tools.
- Production RAG systems, tool-calling agents, and MCP-based integrations
- PostgreSQL, TimescaleDB, PostGIS, pgvector, and advanced SQL analytics
- IoT telemetry, route analytics, map matching, and logistics reporting
- Applied ML for ETA prediction, fuel-consumption modeling, and anomaly detection
- FastAPI backends, Dockerized services, REST APIs, and async workflows
- Real-time voice agents with STT → LLM → TTS pipelines
- OCR-based document processing to improve retrieval quality
- Self-hosted RAG systems with FastAPI, PostgreSQL/pgvector, and Ollama
- Data & Databases: PostgreSQL, TimescaleDB, PostGIS, SQL
- Backend & AI: Python, FastAPI, LangChain, LangGraph, Ollama, LLMs, Crawl4AI