I'm a Software Engineer specializing in Machine Learning Systems and Computer Vision, with a strong foundation in full-stack development. My work bridges the gap between cutting-edge AI technologies and practical, scalable applications that solve real-world problems.

Key Highlights:

• 🤖 Passionate about Machine Learning, Computer Vision, and AI-powered systems
• 🎓 Computer Science graduate from Hochschule Hof - University of Applied Sciences
• 🔧 Experienced in building end-to-end ML pipelines, full-stack applications, and containerized deployments
• 🚀 Strong focus on production-ready solutions with emphasis on performance and scalability

May 2025 - Present | Family-Owned Company (Services & Logistics)

• Support preparation and execution of customer orders with focus on administrative and technical processes
• Create, maintain, and partially automate quotations and invoices for streamlined operations
• Handle written customer correspondence and optimize internal processes using digital tools (Word, Excel)
• Perform lead worker tasks including employee onboarding, coordination, and supervision
• Participate in physically demanding operational work alongside administrative duties

October 2024 - February 2025 | Bachelor's Thesis Project

• Developed sophisticated proof of concept for AI/ML project in production and quality assurance
• Tested and evaluated various identification methods to improve production safety and process quality
• Created prototype achieving very high accuracy in product component detection
• Drastically reduced defective production rate through intelligent quality control system
• Project now serves as foundation for company-wide implementation

Tech Stack: Python, YOLO, Computer Vision, Machine Learning

Full-stack application for managing winter road maintenance operations with real-time tracking and automated billing.

Highlights:

• Built for real-world use by winter maintenance service teams
• Real-time status tracking for street clearing operations across multiple cities
• Automated invoice generation with PDF export and customizable pricing
• Mobile-first design with offline capabilities and touch-optimized interfaces
• Role-based access control with granular permission management
• Comprehensive time tracking with automatic overtime calculation
• 300+ unit and integration tests ensuring reliability

Tech: React, TypeScript, Supabase, PostgreSQL, Vite, jsPDF, Vitest

🔗 Live Demo

AI/ML production quality assurance system developed during university internship at Alukon KG.

Highlights:

• Computer vision-based quality control for manufacturing processes
• Product component detection with very high accuracy
• Drastically reduced defective production rate through automated inspection
• Real-time processing for integration into production line
• Serves as foundation for company-wide implementation

Tech: Python, YOLO, Computer Vision, OpenCV, Machine Learning

Interactive chess platform with real-time gameplay and modern UI.

Highlights:

• Full-featured chess game with move validation
• Real-time multiplayer functionality
• Clean, responsive interface for seamless gameplay
• Game state management and move history

Tech: React, JavaScript, HTML/CSS, Socket.IO

Collaborative project with university classmates to create an interactive coding education platform emphasizing hands-on learning.

Highlights:

• Isolated code execution using Docker containers for multi-language support (Java, JavaScript, Python)
• Dynamic content management with HTML parsing and syntax highlighting
• Automated assessment engine with gamification (XP, achievements, progress tracking)
• RESTful API with token-based authentication

Tech: Laravel, React, Docker, PHP, MySQL

Productivity application implementing the Pomodoro Technique for effective study sessions.

Highlights:

• Customizable timer intervals for focused work sessions
• Break reminders and session tracking
• Clean, distraction-free interface
• Progress tracking and statistics

Tech: React, JavaScript

Innovative human-computer interaction system using computer vision for game control.

Highlights:

• OpenCV-based eye-blink detection with real-time facial landmark tracking
• Calibration system for personalized detection thresholds
• Low-latency input processing for responsive gameplay
• Frame buffering and smoothing algorithms

Tech: Python, OpenCV

Collaborators: Built together with @sero583

Modern portfolio website showcasing projects and skills with interactive design.

Highlights:

• Responsive design with smooth animations
• Project showcase and contact information
• Clean, professional interface
• Fast loading and optimized performance

Tech: HTML, CSS, JavaScript

🔗 Visit Site

Bachelor of Science in Computer Science
Hochschule Hof - University of Applied Sciences, Germany
Graduated | Focus: Software Engineering, Machine Learning, and AI

• 🌐 Portfolio: taylan.oezdabak.dev
• 📧 Email: [email protected]
• 💼 LinkedIn: Taylan Özdabak