Computer Engineering Student | Aspiring Software Developer

SelinYılmaz

Motivated, fast-learning Computer Engineering student with a multidisciplinary background, committed to building a career in IT and software development.

Netherlands

Get in touch Download CV

const developer = {
  name: 'Selin Yılmaz',
  role: 'Computer Engineering Student | Aspiring Software Developer',
  location: 'Netherlands',
  focus: [
    'Programming Languages',
    'Databases',
    'Cloud & Networking',
    'Software Development',
    'Project Management',
  ],
};

Projects

Certifications

Skill Areas

Languages

Skills

Technical Skills

Programming Languages

Python

Databases

SQL / SQL Databases
Database Fundamentals

Cloud & Networking

Microsoft Azure Fundamentals
Networking Fundamentals

Software Development

Basic Software Development
Capstone Project Experience

Project Management

Project Management Fundamentals

Projects

Featured Projects

Market Price Comparison

A full-stack web application for comparing grocery prices across multiple markets and finding the cheapest basket.

Problem

Comparing prices for the same products across different markets is slow and manual, making it hard to actually find savings.

Solution

A FastAPI backend exposes market, product, and price data through a REST API, with a dedicated basket-comparison endpoint that calculates the cheapest market for a selected list of products; a React + Tailwind CSS frontend consumes it.

Market, product, and price management endpoints
Basket comparison endpoint that finds the cheapest market for a selected product list
Swagger / ReDoc API documentation
Seed script covering 5 markets × 15 products × 75 prices

FastAPISQLAlchemyPostgreSQLUvicornReactViteTailwind CSSAxiosDockerDocker Compose

Lichfield Heart Disease Dataset

View on GitHub

A deep learning model that predicts an individual's heart disease risk from health data, trained on the Lichfield Heart Disease Dataset.

Problem

Heart disease is one of the leading causes of death worldwide; identifying at-risk individuals early from their health metrics requires a trained predictive model, not manual inspection.

Solution

A Keras/TensorFlow Sequential neural network (128→64→32→16→1 Dense layers, ReLU activations, sigmoid output) trained with the Adam optimizer and binary cross-entropy loss, evaluated with scikit-learn's classification report.

Dedicated data preprocessing pipeline
Sequential Dense neural network with 4 hidden layers
Model evaluation via scikit-learn's classification_report
Separate Jupyter notebooks for data processing and model training
Trained model artifact saved and versioned (heart_model.h5)

PythonPandasNumPyScikit-learnTensorFlow / KerasMatplotlibSeaborn

Virexa / AI News

View on GitHub

A Next.js 16 AI-powered news aggregation and newsletter platform covering technology, business, AI, games, and world news.

Problem

Keeping up with technology and AI news means checking dozens of scattered sources every day, with no consistent categorization or reading experience.

Solution

A full-stack platform (Next.js App Router + Supabase) that aggregates live RSS feeds, runs them through a cron-triggered AI enrichment pipeline, and organizes them by category with search, bookmarks, reading history, and a newsletter.

Supabase authentication (sign in/up, OAuth) with protected routes
Full admin panel (articles, sources, users, newsletter, analytics, runtime)
Live RSS-based news aggregation from 5 active sources
Cron-triggered AI enrichment pipeline
Newsletter with Resend welcome email + unsubscribe flow
Search, multi-language (i18n) support, and a dark/light theme system

Next.js 16React 19TypeScriptTailwind CSS v4SupabaseResend

Education

Kahramanmaraş Sütçü İmam University

Computer Engineering — Faculty of Engineering and Architecture

4th-year studentTurkey

Istanbul University – AUZEF (Open and Distance Education Faculty)

Child Development

2-year degree

GraduatedDecember 2022

GPA: 3.41 / 4.00

Certifications

Certifications & Training

We'R HERE

Voorbereiding IT Programme

Completed26 July 2025Netherlands

Curriculum: Python, SQL Databases, Networking, Azure Fundamentals, Capstone Project

BTK Akademi / ICT Authority

Project Management Fundamentals

Nov 2023

Communication & Network Management

Mar 2024

Team Building and Management

Mar 2024

Public Speaking & Effective Presentation

Mar 2024

Kodluyoruz

AI4ResilientYouth Program

Successfully completed

51-hour programme supported by Australian Aid / Australian Embassy in Ankara, delivered by Kodluyoruz.

About

About Me

4th-year Computer Engineering student at Kahramanmaraş Sütçü İmam University, and graduate of a 2-year Child Development program. Completed IT training in the Netherlands covering Python, SQL databases, networking and Microsoft Azure fundamentals. A motivated, fast-learning entry-level IT candidate with a multidisciplinary educational background, adaptable to multicultural and international environments and committed to building a career in IT and software development.

Beyond code: Travel & Cultural Exploration, AI & Emerging Technology, Digital Design, Swimming & Sports, Equestrian Activities

Languages

TurkishNative
DutchA2+
EnglishA2

Contact

Let's build something together.

Feel free to reach out by email or connect on GitHub / LinkedIn.

Get In Touch

sselinyilmazz01@gmail.com github.com/selinyilmazz www.linkedin.com/in/selin-yılmaz-589461209Netherlands

const developer = { name: 'Selin Yılmaz', role: 'Computer Engineering Student | Aspiring Software Developer', location: 'Netherlands', focus: [ 'Programming Languages', 'Databases', 'Cloud & Networking', 'Software Development', 'Project Management', ], };

Featured Projects

Market Price Comparison

A full-stack web application for comparing grocery prices across multiple markets and finding the cheapest basket.

Problem

Comparing prices for the same products across different markets is slow and manual, making it hard to actually find savings.

Solution

Market, product, and price management endpoints
Basket comparison endpoint that finds the cheapest market for a selected product list
Swagger / ReDoc API documentation
Seed script covering 5 markets × 15 products × 75 prices

FastAPISQLAlchemyPostgreSQLUvicornReactViteTailwind CSSAxiosDockerDocker Compose

Lichfield Heart Disease Dataset

View on GitHub

A deep learning model that predicts an individual's heart disease risk from health data, trained on the Lichfield Heart Disease Dataset.

Problem

Heart disease is one of the leading causes of death worldwide; identifying at-risk individuals early from their health metrics requires a trained predictive model, not manual inspection.

Solution

Dedicated data preprocessing pipeline
Sequential Dense neural network with 4 hidden layers
Model evaluation via scikit-learn's classification_report
Separate Jupyter notebooks for data processing and model training
Trained model artifact saved and versioned (heart_model.h5)

PythonPandasNumPyScikit-learnTensorFlow / KerasMatplotlibSeaborn

Virexa / AI News

View on GitHub

A Next.js 16 AI-powered news aggregation and newsletter platform covering technology, business, AI, games, and world news.

Problem

Keeping up with technology and AI news means checking dozens of scattered sources every day, with no consistent categorization or reading experience.

Solution

Supabase authentication (sign in/up, OAuth) with protected routes
Full admin panel (articles, sources, users, newsletter, analytics, runtime)
Live RSS-based news aggregation from 5 active sources
Cron-triggered AI enrichment pipeline
Newsletter with Resend welcome email + unsubscribe flow
Search, multi-language (i18n) support, and a dark/light theme system

Next.js 16React 19TypeScriptTailwind CSS v4SupabaseResend

Certifications & Training

We'R HERE

Voorbereiding IT Programme

Completed26 July 2025Netherlands

Curriculum: Python, SQL Databases, Networking, Azure Fundamentals, Capstone Project

BTK Akademi / ICT Authority

Project Management Fundamentals

Nov 2023

Communication & Network Management

Mar 2024

Team Building and Management

Mar 2024

Public Speaking & Effective Presentation

Mar 2024

Kodluyoruz

AI4ResilientYouth Program

Successfully completed

51-hour programme supported by Australian Aid / Australian Embassy in Ankara, delivered by Kodluyoruz.

About Me

Beyond code: Travel & Cultural Exploration, AI & Emerging Technology, Digital Design, Swimming & Sports, Equestrian Activities

Languages

TurkishNative
DutchA2+
EnglishA2