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mtyldz/README.md

Hi, I'm Umut πŸ‘‹

Fullstack Developer Β· Δ°zmir, Turkey

Fullstack developer with 6+ years of experience building web, mobile, and backend applications. I started working professionally during my second year of Computer Engineering at Izmir Institute of Technology and have been building across the full stack ever since β€” from mobile UIs to backend APIs and cloud infrastructure.

Particularly strong in React, React Native, TypeScript, and Java. Currently exploring on-device AI/LLM inference in mobile apps.

Activity

GitHub Streak

Contribution Graph

Top Languages


Tech Stack

Languages

TypeScript JavaScript Java Python Go

Mobile

React Native Expo

Frontend

React Next.js Tailwind CSS

Backend

Node.js NestJS Spring Boot

Databases

MongoDB PostgreSQL Firebase

Cloud & Infrastructure

AWS Docker Google Cloud


Featured Projects

Oris β€” Hands-Free Mobile App for Sterile Environments (2025 – present)

A cross-platform mobile application designed for environments where touch interaction isn't possible. Users interact entirely via voice commands, with on-device speech recognition and a local LLM parsing commands β€” no internet dependency required.

  • BLE communication between the app and a custom Raspberry Pi 5 hardware stand
  • File transfer over the device's personal hotspot via SFTP/HTTP β€” no external network required
  • Biometric re-authentication, encrypted local storage, session timeouts

React Native Expo TypeScript Firebase BLE llama.rn Raspberry Pi Zustand


ineksepeti β€” Livestock Exchange Platform (2022 – 2023)

Graduation project β€” a marketplace platform connecting Turkish farmers directly, cutting out middlemen from livestock trading. Designed the full UI/UX from scratch in Figma and implemented end-to-end.

  • Interactive Turkey map visualizing active listings and livestock counts per city with color-coded density indicators
  • Received full marks from the jury, who praised its real-world relevance

React Node.js MongoDB


Pandance β€” AI-Powered Dance Movement Analysis (2022 – 2023)

A web application that analyzes a user's movement in real time via webcam, comparing their pose frame-by-frame against professional dance videos using cosine similarity and L2 normalization.

  • Integrated TensorFlow.js with MoveNet for live body keypoint extraction
  • Instructor highlighted potential applicability in physiotherapy and movement rehabilitation

React.js TensorFlow.js MoveNet Firebase Storage


Connect

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