Fourth-year Computer Engineering Student at Istanbul Arel University (CGPA: 3.88/4.00)
100% Merit Scholarship · High Honor Student
Focused on backend and full-stack software engineering, AI/ML, health-tech, and industrial automation.
- Automation Intern | Akçansa–Betonsa Technology Center (August 2026–Present): Working with PLC/HMI communication, industrial-network troubleshooting, Delta DVP PLCs, DOPSoft, and TwinCAT. Also exploring computer-vision, image-processing, and data-process applications in an industrial environment.
- 🔍 Overengineering Detector | Full-Stack: Developing a technology-stack analysis platform with project CRUD, authentication, role-based access, analysis history, and a custom scoring engine for identifying underengineering and overengineering risks.
- 📅 Academic Calendar Scraper Istanbul | Data Engineering: Building a Python pipeline that collects and validates official 2026–2027 academic-calendar sources from Istanbul universities and detects HTML, PDF, embedded-document, and API-based formats.
- 🔒 Subliminal Bias Firewall | LLM Safety Research: Investigating LoRA/QLoRA-based evaluation workflows for detecting hidden behavioral bias, trait leakage, unsupported citations, and uncertainty errors in language-model outputs.
- 💼 Personal Portfolio Website | Full-Stack: Built a full-stack engineering portfolio with a React 19, TypeScript, Vite, Tailwind CSS, and Motion frontend; a Java 21, Spring Boot, JPA, and PostgreSQL backend; typed REST APIs; a validated and rate-limited contact workflow; Resend integration; automated tests; and GitHub Actions CI/CD.
- 🏥 Regional Healthcare Database Management System | Database Engineering: Designed a normalized Microsoft SQL Server/T-SQL healthcare database with 36 relational tables covering patients, facilities, staff, appointments, visits, referrals, transfers, diagnoses, prescriptions, and allergies. Implemented EER modelling, subtype and associative relationships, PK/FK constraints, business-rule checks, persisted computed columns, sample data, and reporting views for patient journeys and regional epidemiology.
- 🏆 DATATHON 2026 | Team Participant: Completed the Data Science, Algorithmic Problem Solving & Optimization Track as part of a two-person team in the 9–14 June 2026 competition organized by BTK Akademi, Google, and Girişimcilik Vakfı. Collaborated on time-constrained data-analysis, algorithmic problem-solving, and optimization tasks and earned a participation certificate.
- 🏗️ CampusNote Pro | Product Owner & Scrum Master: Led a team of 4 in developing an AI-assisted academic-sharing platform. Managed the SDLC, IEEE 830-aligned requirements, UML, user stories, and Scrum processes. The architecture combines Java Spring Boot, PostgreSQL, Tailwind CSS, and an external Python AI service.
- 🌌 aura.board | Full-Stack: Built and deployed a collaborative digital vision board with ASP.NET Core (.NET 9), PostgreSQL, Entity Framework Core, Vite, and vanilla JavaScript. Implemented HttpOnly-cookie JWT authentication, PBKDF2-SHA512 password hashing, collaboration features, persistent storage, and optional Gemini-powered inspiration. Live Demo
- 🌳 CodeYourTree | Full-Stack: Developed a coding-habit tracker using Java 21, Spring Boot 3, Spring Security, and PostgreSQL. Implemented recursive tree-growth logic, persistent progress tracking, and backend tests with JUnit 5 and Mockito.
- 🛡️ StegoDetector: Developed a texture-aware steganalysis application using Python, Streamlit, XGBoost, scikit-learn, OpenCV, and NumPy to classify and analyze potentially hidden image data.
- 🏫 University Automation System: Developed a role-based student information system using Java Swing and FlatLaf. Designed a modular MVC architecture with persistent file-based storage, iText PDF transcript generation, and JFreeChart academic analytics.
- 💰 Expense Tracker | Java Swing: Built a desktop finance manager using OOP principles, the DAO pattern, PostgreSQL, and JDBC for modular data access.
- 🎮 Frantic Barista | Game Logic: Built a simulation game focused on state management, real-time event handling, and interactive gameplay using Vanilla JavaScript and the HTML5 Canvas API.
- 🏨 Hotel Management System: Created a Java Swing application implementing core hospitality-management workflows with event-driven programming.
- 🎓 Student Certification App: Developed a JavaScript application for managing and issuing student certificates through automated workflows.
- 🌦️ Simple Weather App: Built a responsive HTML, CSS, and JavaScript application using a real-time weather API.
- 🧠 Generative XAI for ADHD EEG: Explored EEG stationarity analysis, explainability, and synthetic-data approaches for pediatric ADHD research.
- 🔐 Hybrid SSH Tunneling Simulation: Implemented a secure communication simulation in C++ using sockets, Diffie–Hellman key exchange, cryptographic concepts, and encrypted packet forwarding.
- 🎸 Deep Learning Music Classifier: Used TensorFlow, Librosa, MFCC features, and a CNN+LSTM architecture to compare Metal and Classical music on the GTZAN dataset.
- 🔢 MNIST Digit Recognition: Implemented and optimized a deep neural network with Keras for handwritten-digit classification.
- 🩺 Cervical Cancer Risk Prediction: Developed a voting classifier combining Logistic Regression, KNN, and Decision Tree models with median imputation, feature normalization, and class-balancing techniques.
- 🖼️ Image Steganography & Steganalysis: Studied image-steganography methods and counter-analysis techniques using texture, gradient, and machine-learning features.
Systems, Backend & Architecture
- Backend Engineering: Building REST services with Spring Boot, ASP.NET Core, and Node.js/Express, supported by PostgreSQL, JPA/Hibernate, EF Core, and secure JWT-based authentication.
- Requirements Engineering: Managing requirements, user stories, traceability, UML models, and software lifecycles through IEEE 830-aligned documentation and Agile/Scrum practices.
- Secure Networking: Implementing socket-based secure-tunneling simulations in C++ with key exchange and encrypted packet forwarding.
- Industrial Automation: Working with PLC/HMI communication, Delta DVP, DOPSoft, TwinCAT, IP configuration, and industrial-network diagnostics.
Artificial Intelligence, Data & Research
- Applied Machine Learning: Developing healthcare-oriented prediction systems with ensemble learning, feature engineering, model evaluation, and class-imbalance handling.
- LLM Adaptation & Safety: Studying LoRA/QLoRA, evaluation pipelines, bias leakage, citation reliability, and uncertainty-aware model behavior.
- Computer Vision: Applying OpenCV, gradient filters, texture analysis, classical ML, and deep-learning methods to image classification and steganalysis.
- Data Engineering: Practicing PostgreSQL extraction, JDBC connectivity, ETL pipelines, schema design, and Spark/PySpark fundamentals.
- Data Engineering Foundations: PostgreSQL extraction, relational modeling, JDBC, ETL pipelines, and Spark/PySpark fundamentals
- Industrial Automation: PLC ladder logic, PLC/HMI communication, Delta DVP, DOPSoft, TwinCAT, and industrial networking
- LoRA & QLoRA: Parameter-efficient fine-tuning concepts, implementation patterns, and LLM evaluation
- Linux Essentials: Command-line fundamentals, permissions, processes, networking, and system administration
- Hands-On AI Image Processing: Applied image processing and computer-vision workflows with Python
I am open to long-term internships, working-student roles, and collaborations in backend development, full-stack engineering, data, industrial automation, and applied AI.
- Portfolio: pelinzeynepkaya.com
- GitHub: @aeroplein
⭐ If you find any of my projects interesting, feel free to explore my repositories and leave a star!


