Emre Efe Yüksel

Computer Engineering Student | AI & Computer Vision Developer

Passionate Computer Engineering student specializing in Artificial Intelligence and Computer Vision. Dedicated to building hybrid AI solutions that solve real-world problems in Industry 4.0 and automation. Experienced in deep learning architectures, image processing algorithms, and data-driven decision making.

Emre Efe Yüksel

About Me

I am a Computer Engineering student at Yasar University with a strong focus on Computer Vision and Deep Learning. My journey involves bridging traditional Image Processing techniques with modern Neural Networks (CNNs, Autoencoders) to create robust applications.

Currently, I am working on defect detection systems for the textile industry and exploring generative AI. I am actively developing my professional GitHub profile to showcase my technical skills in Python, OpenCV, and PyTorch.

Technical Skills

AI & Deep Learning

  • PyTorch
  • TensorFlow/Keras
  • CNN & Autoencoders
  • Transfer Learning
  • Anomaly Detection

Computer Vision

  • OpenCV (DIP)
  • MediaPipe
  • Image Segmentation
  • Feature Extraction
  • Object Detection

Programming

  • Python (Advanced)
  • C/C++
  • SQL
  • MATLAB

Tools & Platforms

  • Git & GitHub
  • Google Colab
  • Jupyter Notebooks
  • n8n (Automation)

Data Science

  • Pandas & NumPy
  • Matplotlib & Seaborn
  • Scikit-learn
  • Data Mining

Experience

Computer Engineering Intern

OGEM Mühendislik - İzmir, Turkey

July 2025 - August 2025
  • Supported engineering teams in data analysis and technical documentation processes
  • Gained hands-on experience in sector-specific engineering workflows and problem-solving
  • Collaborated on project reporting and presentation materials for stakeholders

Core Team Member

HUAWEI Student Developers (HSD) Türkiye - Yasar University

September 2024 - July 2025
  • Organized technical workshops focusing on mobile development and Huawei HMS Core
  • Coordinated community events to foster student engagement in technology

Core Team Member

Google Developer Clubs Turkey - İzmir, Turkey

October 2023 - June 2024
  • Facilitated workshops on Google technologies, including cloud computing and basic programming
  • Contributed to the organization of hackathons and coding bootcamps

Projects

Textile Surface Defect Detection

Hybrid Approach | Python, PyTorch, OpenCV, Autoencoders

  • Developed a hybrid AI solution for Industry 4.0 to automate quality control in textile manufacturing
  • Combined traditional Image Processing (CLAHE, Filtering) with Deep Learning (CNNs, CAE)
  • Implemented Unsupervised Anomaly Detection using Convolutional Autoencoders to detect unknown defects
  • Utilized MVTec AD dataset for training and validation of defect classification models

Air Canvas Application

Computer Vision | Python, OpenCV, MediaPipe

  • Built an interactive "Air Canvas" application allowing users to draw on screen using hand gestures
  • Leveraged MediaPipe for real-time hand landmark detection and tracking
  • Implemented color selection and drawing logic using OpenCV matrix operations
  • Optimized for real-time performance to ensure smooth user interaction

Image Processing - Cell Counting

Biomedical Image Processing | Python, OpenCV, Numpy

  • Wrote a report that contains three different cell counting methods and their comparison
  • Implemented image preprocessing techniques including Gaussian Blur and Contrast Enhancement
  • Utilized (Hough Circle Transform, Canny Edge Detection, Otsu Thresholding with Connected Components) Methods
  • Achieved high accuracy in detecting and counting cells under varying lighting conditions

Education

Bachelor of Science in Computer Engineering

Yasar University - İzmir, Turkey

GPA: 3.52/4.00

Academic Excellence Scholarship Recipient

2022 - 2026

Certifications

Python for Computer Vision & AI

Deep Learning Specialization

15 Days of SQL: Complete SQL Masterclass

Version Control: Git and GitHub

Languages

Turkish

Native

English

Professional Working

German

Limited Working

Italian

Elementary

Get In Touch