Esnaf Stok
Stock and profitability tracking for small shop owners. It matches products from e-invoices automatically, calculates cost down to the cent, and is verified by 357 tests.
I graduated in Computer Engineering from İskenderun Technical University in June 2026. I build the interface, the backend and the LLM layer end to end. I'm open to full-time roles, internships and freelance projects.
Stock and profitability tracking for small shop owners. It matches products from e-invoices automatically, calculates cost down to the cent, and is verified by 357 tests.
A platform that turns one plain-language sentence into a ready-made survey. I built the interface, backend and LLM integration on my own.
An image classification model that tells bottles, bags and packaging apart. I collected the 4,500-image dataset myself; test accuracy is about 85–90%.
Mobile apps covering state management, a local database and REST API integration.
Deep learning models that predict the material type from about 3,000 sound recordings. My teammate and I collected the dataset together.
A team solution approach and project report for daily parcel demand forecasting and lowest-cost vehicle planning.
For my graduation project, I built a web platform that turns plain-language prompts into surveys, on my own and end to end: interface, backend and LLM integration.
Right now I'm building a stock and cost tracking app for small shop owners with React, TypeScript and Supabase. During my internship I developed REST APIs in a microservice architecture with Java 17 and Spring Boot. My goal is to be good at every layer of LLM-based products: backend, frontend and AI.
Away from the computer, I tinker with hobby electronics using ESP32 and LoRa, and I keep an eye on finance. I speak Turkish, English (B2) and Levantine Arabic.
Relevant courses: Artificial Intelligence, Machine Learning, SQL / Databases, Web Programming, Object-Oriented Programming, Data Structures
Finished and ongoing work.
For my graduation project, I built a web platform that turns plain-language prompts into surveys, on my own and end to end: interface, backend and LLM integration.
Right now I'm building a stock and cost tracking app for small shop owners with React, TypeScript and Supabase. During my internship I developed REST APIs in a microservice architecture with Java 17 and Spring Boot. My goal is to be good at every layer of LLM-based products: backend, frontend and AI.
Away from the computer, I tinker with hobby electronics using ESP32 and LoRa, and I keep an eye on finance. I speak Turkish, English (B2) and Levantine Arabic.
Relevant courses: Artificial Intelligence, Machine Learning, SQL / Databases, Web Programming, Object-Oriented Programming, Data Structures
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