Firat Yavas

ML & Computer Vision Engineer

I build production-minded machine learning systems, real-time computer vision applications, and practical AI products.

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About

I am a Computer Engineering student at Pamukkale University, focused on turning machine learning research into reliable, usable systems. My work spans object detection and tracking, visual perception pipelines, data-driven APIs, and LLM-based agent workflows.

• Building real-time computer vision and applied ML systems with Python.
• Interested in model integration, inference pipelines, data analysis, and measurable product outcomes.
• Open to internships, early-career opportunities, and technical collaborations.

Technical Toolbox

Area	Technologies
Machine Learning	PyTorch TensorFlow scikit-learn Keras
Computer Vision	OpenCV YOLO DeepSORT Tesseract OCR
Data	Pandas NumPy SQL PostgreSQL MySQL
Engineering	Python Flask REST APIs Docker GitHub Actions

Featured Work

Project	What it does	Stack
Lane Violation Detection	Detects and tracks vehicles, identifies lane violations, and supports review workflows through desktop and web interfaces.	Python YOLO DeepSORT OpenCV PyQt Flask
SmartVision	Provides real-time object detection and spoken guidance designed to assist visually impaired users.	Python YOLOv8 OpenCV TTS
LLM Multi-Agent Retail Optimization	Coordinates demand forecasting, inventory management, and pricing workflows through an LLM-based multi-agent system.	Python LLMs LangChain Google ADK

Experience & Education

Software Engineering Intern, Kodpit | Jun 2025 to Aug 2025
Built an end-to-end lane detection and vehicle tracking pipeline with Python and OpenCV, using a modular architecture designed for deep learning model integration.

B.Sc. Computer Engineering, Pamukkale University | 2021 to Present
Concentrating on data-driven AI, computer vision, and practical machine learning systems.

Let's Connect

I am open to internships, ML/CV engineering opportunities, and collaborations on useful AI products. The best way to reach me is at firatyavas12@gmail.com.