Yigit Can Ozkaya
I'm Yigit Can Ozkaya, an Applied AI/ML engineer with an MSc in Artificial Intelligence from Vrije Universiteit Amsterdam.
About
I’m Yigit Can Ozkaya, an Applied AI/ML engineer with an MSc in Artificial Intelligence from Vrije Universiteit Amsterdam. I have 2+ years of experience building production-grade web software and ML-enabled systems, with a strong frontend background in Angular, TypeScript, and RxJS. I’m actively developing expertise in LLM systems (RAG, evaluation) and automated program repair.
As the co-founder of Yousha, I lead end-to-end projects from generation pipelines to print fulfillment, delivering personalized children’s books. I built the core platform (Node/Express backend, Redis-based task/state handling, deployments on Railway), added product analytics with PostHog, and designed scalable pipelines to generate print-ready assets and fulfil printer orders. I also pursued research at Capisoft as a thesis intern, focusing on automated program repair with Code-LLMs and developing an evaluation harness for retrieval-augmented repair methods.
- 4 years' experience
- Joined February 2026
Skills· 20
Languages
- EnglishFluent
- TurkishFluent
Industry experience
- Software & Internet
- Education
- Media & Entertainment
- Computers & Electronics
Work experience· 4 roles
Co-founded a personalized children’s book startup, generating custom illustrated books using image models and automating the flow from user input to print-ready output. Built and operated the core platform: Node/Express backend, Redis-backed task/state handling, and deployments on Railway. Implemented product analytics and funnel visibility with PostHog. Designed the production pipeline for creating print-ready assets and sending orders to the printer.
Researched automated program repair with Code-LLMs, emphasizing retrieval-augmented generation using structured error–repair examples. Built an experimental pipeline and evaluation harness to measure repair success via unit tests (pass@1), enabling reproducible comparisons across retrieval and prompting variants.
Developed clinical trial financial management software for biopharma using Angular, TypeScript, RxJS, Ag-Grid, Tailwind, GraphQL, and Chart.js to deliver responsive, data-heavy UIs.
Education
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