I'm Yilmaz Selale.

I'm a creative-minded Full Stack Developer who loves crafting seamless digital experiences from concept to deployment. I enjoy building elegant interfaces, writing clean code, and solving real-world problems through technology.

In my free time, you’ll find me chasing sunsets along the Aegean coast—wandering seaside towns and soaking in the calm that fuels my creativity.

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About me

I am a software developer specializing in software development and mathematics, with a proven ability to produce effective solutions to complex problems through analytical thinking. I possess deep knowledge of various programming languages and develop innovative projects using modern technologies. I am dedicated to continuous improvement and adept at adapting to new technologies.

Location:Istanbul, Turkey
Age:24
Nationality:Turkish
Interests:Cars, Nature, Outdoor Activities
Study:Anadolu University & Bilecik Şeyh Edebali University
Employment:Freelance Full-Stack Developer

Education

Computer Programming

Anadolu University•September 2023

Gained both theoretical and practical knowledge in software development, data structures, and modern programming languages. Developed real-world projects and improved problem-solving skills through hands-on experience.

Mathematics Department

Bilecik Şeyh Edebali University•September 2020

Built a strong foundation in analytical thinking, logical reasoning, and statistical modeling. Applied mathematical skills to support and enhance software development practices.

Work

Freelance Full-Stack Developer

Remote / Istanbul, Turkey•Present

Working as a freelance developer, delivering full-stack web applications for clients worldwide. Specialized in building responsive and scalable web solutions using modern technologies like React, Node.js, and MongoDB. Collaborated with clients through platforms such as Fiverr and Upwork, focusing on clean code, user-friendly design, and performance optimization

Skills

A concise overview of my technical and language skills, highlighting my areas of expertise and work discipline.

Spoken languages

English

Turkish

Frontend development

React

Typescript

GraphQL

Backend development

Node.js

Rust

Docker & Docker Compose

Mobile development

React Native

Flutter

Swift

Check out some of my work

Chat-app-master

Chat-App-Master is a real-time messaging platform designed for seamless communication. With a user-friendly interface, it allows instant text, media sharing, and notifications for a smooth chatting experience.

Fake News Detection

Fake News Detection is a Machine Learning project that classifies news as 'Real' or 'Fake' using Logistic Regression and NLP techniques, with a Flask API for predictions and visualization.

Dollar Prediction with Machine Learning

Dollar Prediction with Machine Learning is a project that predicts the USD/TRY exchange rate using historical data. The model utilizes LSTM (Long Short-Term Memory) neural networks for time series forecasting, developed with Python and Jupyter Notebook.

LojistikRegresyon

Diabetes Prediction (Logistic Regression) is a Machine Learning project that predicts the risk of diabetes using biometric data. The model is trained with features like pregnancy count, glucose level, and age, to predict whether an individual has diabetes or not using Logistic Regression

QR-Code-Generater

QR Code Generator is a simple tool to create custom QR codes. Users can input text or URLs, and the tool generates a corresponding QR code that can be scanned by any QR code reader. This project uses Python and the qrcode library for generating the codes.

Project title 6

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Pong Game Project

Pong Game Project is a simple recreation of the classic Pong game, created using C++ and a graphical user interface (UI). The project focuses on game mechanics and UI design, providing a playable and interactive experience.

CinePlay

CinePlay is a movie streaming platform where users can watch a wide variety of films online. It offers an extensive collection of movies across different genres, providing a seamless and enjoyable viewing experience.

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Deep Learning Malaria

Deep Learning Malaria is a machine learning project designed to classify malaria-infected and non-infected cell images using a MobileNet model. The project uses transfer learning, data augmentation, and fine-tuning to improve model accuracy. The model is trained on a dataset of cell images and evaluates its performance with classification reports and confusion matrices.

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Collaborating with this team was a masterclass in professionalism and innovation. Their ability to deliver high-impact solutions under tight deadlines is nothing short of exceptional.

-- Alexander Moore – Chief Technology Officer, NovaTech

What stood out the most was the seamless communication and the dedication to quality. Every deliverable exceeded expectations, both in function and design.

-- Isabelle Laurent – Product Manager, Helix Systemse

An outstanding experience from start to finish. Their attention to detail and commitment to understanding our needs made them feel like an extension of our own team.

-- Dr. Marcus Wei – Director of Research, Orion Labs

Get in touch.

If you have any questions, suggestions or cooperation offers, you can contact me using the form below.

Email: selaleyilmaz7@gmail.com
Location: Istanbul, Turkey
Instagram: @ylmazkayra
Github: ylmazselale