Hey! 👋
AI / Full-Stack Software Engineer. I architect AI products and take them from concept to production.
const uzay = {
role: 'AI / Full-Stack Software Engineer',
location: 'Izmir, Türkiye',
focus: [
'LLM pipelines',
'AI agents & MCP',
'enterprise integration',
],
stack: [
'Python', 'TypeScript',
'LangChain', 'FastAPI', 'Next.js',
],
building: 'Perfumind',
};// selected work
An AI fragrance discovery platform I built solo, end to end: a Next.js web app, a FastAPI/LangChain backend and Supabase, with LLM-orchestrated research and recommendations across a catalogue of 4,000+ perfumes.
A Model Context Protocol server that gives AI agents structured movie and TV data through 23 tools, with an LRU cache that cuts upstream API calls by 50–75%.
My BEng dissertation at the University of Sheffield: a custom instance-segmentation model that finds grape bunches in vineyard images and video, reaching an 82% F1 score at IoU 0.50 with 0.3 s inference.
My MSc project: a web platform that deploys cloud-native network functions on Kubernetes and continuously retunes their autoscaling from ML forecasts, reducing cost by 5–10% on fluctuating workloads.
A Word-to-PDF conversion service built as five microservices on Kubernetes, with RabbitMQ queues for asynchronous processing, MongoDB GridFS for file storage and JWT authentication. Designed to absorb up to 50,000 conversion requests.
// about
I'm Uzay, an AI and full-stack software engineer based in Izmir. I like the stretch between a promising idea and a system people rely on every day: LLM pipelines, enterprise integrations with SAP, mobile apps on the factory floor, and the infrastructure that keeps them running. I work with a production-first mindset and use AI-augmented development to ship faster without giving up ownership of architecture and quality.
// skills
// experience
Klimasan – Metalfrio Solutions
Nov 2025 – Apr 2026Manisa, Türkiye
Data Annotation Tech
Apr 2024 – Mar 2025Remote
Semafor Technology
Jun 2021 – Sep 2021Izmir, Türkiye
// education
University of Greenwich
Read the dissertation projectUniversity of Sheffield
Read the dissertation project// writing
An AI fragrance discovery platform I built solo, end to end: a Next.js web app, a FastAPI/LangChain backend and Supabase, with LLM-orchestrated research and recommendations across a catalogue of 4,000+ perfumes.
A Model Context Protocol server that gives AI agents structured movie and TV data through 23 tools, with an LRU cache that cuts upstream API calls by 50–75%.
My BEng dissertation at the University of Sheffield: a custom instance-segmentation model that finds grape bunches in vineyard images and video, reaching an 82% F1 score at IoU 0.50 with 0.3 s inference.
// contact
Send a message with this form, write to uzaysozen@gmail.com or find me on LinkedIn.
