AI Engineer · Computer Engineer
MuhammedGöktuğ Temiz
I build products where AI meets data systems.
Computer engineer working on AI-driven systems, data pipelines and system integrations. I design automation-oriented, scalable structures that turn complex raw data into something meaningful and usable.
- Location
- Başakşehir / İstanbul, Türkiye
- selected projects
- 7
Open to new projectsAbout
As an AI Engineer with a degree in Computer Engineering, I build LLM-based chatbot and AI agent systems, data processing pipelines and system integrations.
I have hands-on experience setting up PII masking, read-only database security and Prometheus/Grafana-based observability layers in production environments. Using Python, REST APIs, SQL and Elasticsearch, I integrate AI-powered systems into real business processes and focus on building secure, scalable and maintainable products.
- Role
- AI Engineer · Computer Engineer
- Location
- Başakşehir / İstanbul, Türkiye
- Large Language Models (LLM)
- Retrieval-Augmented Generation (RAG)
- AI Agent Architectures
- Embedding & Vector Search
- Speech-to-Text (Whisper)
- AI Chatbot Development
- Prompt Engineering
- Python
- Meetings processed on Transify
- 500+
- Languages supported
- 50+
- Turkish transcription accuracy
- 95%+
- Chatbot regression tests
- 107
Writing
- Cutting my RAG assistant's first word from 50 seconds to 4The first version of the RAG assistant I built for my portfolio kept visitors waiting 25–50 seconds before an answer began. What I measured, what I kept on my server and what I moved to the cloud, and what that decision cost.
- Connecting an AI bot to a production database: three layers of read-onlyA support bot had to read live MySQL without ever writing a single row. Why I built three layers instead of trusting one safeguard, and how I masked sensitive data before it could ever reach the logs.
