About Me
An engineer who codes with passion for AI
I'm a Computer Engineer. I've completed 20+ projects in artificial intelligence, machine learning, and deep learning. I studied at AGH University of Krakow in Poland through the Erasmus+ exchange program.
I currently work as an AI Engineer at Car Studio AI on computer vision projects. Before that I worked at CerebrAI-VorTX on computer vision and data processing, and during internships at Bluesense AI and eCloud Software I developed dermatological analysis systems and medical LLM solutions.
I've represented Turkey in two Teknofest categories and led a team in the Healthcare AI category. I share machine learning projects through Kaggle and GitHub.
Experience
Artificial Intelligence Engineer
Car Studio AI
July 2026 – Present
Kocaeli, Turkey
Internship (On-site)- ▸Development on AI projects focused on computer vision and deep learning.
- ▸Preparing image datasets and running the model training pipeline.
AI Engineer
CerebrAI-VorTX
January 2025 – May 2026
Şanlıurfa, Turkey
Full-time- ▸Active role in design and development of AI projects focused on computer vision and data processing.
- ▸End-to-end model pipeline management: data collection, preprocessing, training, evaluation, and deployment.
- ▸Optimization of deep learning models and hyperparameter tuning.
- ▸Producing technical documentation and model reports.
AI Engineer Intern
Bluesense AI
June 2025 – August 2025
Istanbul, Turkey
Internship- ▸Developed and optimized YOLO-based computer vision models for the Smart Beauty platform.
- ▸Active role in an international project developing real-time mobile dermatological analysis systems.
- ▸Deep learning models with EfficientNetV2, MobileNetV3, Swin-ViT, and MobileViT architectures.
- ▸Improved classification accuracy using hard voting and soft voting ensemble methods.
- ▸Cleaned, annotated, and preprocessed large-scale image datasets.
- ▸Built end-to-end ML pipelines to enable real-time inference.
- ▸Participated in scientific paper preparation for IEEE/Elsevier journals.
AI Engineer Intern
eCloud Software Technologies
June 2025 – August 2025
Şanlıurfa, Turkey
Internship (Remote)- ▸Developed a medical-domain LLM capable of understanding clinical texts.
- ▸Fine-tuned open-source LLMs on medical terminology, diagnoses, and treatment guidelines.
- ▸Integrated the LLM into a web platform via RESTful API.
Trainee
Game and Application Academy
November 2024 – August 2025
Istanbul (Remote)
Full-time- ▸Practical training in AI and data processing.
- ▸Projects in ML, deep learning, and computer vision.
Team Leader
Teknofest – Healthcare AI
May 2024 – September 2024
Şanlıurfa
Competition- ▸Led a team developing AI & computer vision solutions for cancer detection.
- ▸Built a deep learning model for cancer detection in medical images.
Education
B.Sc. Computer Engineering
GraduatedHarran University
May 2022 – June 2026
Şanlıurfa, Turkey
Computer Engineering (Erasmus+ Exchange)
Erasmus+AGH University of Krakow
October 2025 – March 2026
Kraków, Poland
Artificial intelligence, computer vision, systems programming, deep learning.
Certifications
Google & Coursera
5 certificates- Google Advanced Data Analytics — Coursera (Jun 2025)
- Google Project Management — Coursera (May 2025)
- Data Science & AI — Google Academy (May 2025)
- Web App Development — Google Academy (May 2025)
- Entrepreneurship — Google Academy (May 2025)
Presidency of Türkiye — Digital Transformation Office
1 certificates- Feature Engineering + Data Preprocessing + Mass Detection in Mammography — T.R. Presidency DTO (May–Jun 2024)
Udemy
7 certificatesShow all Udemy certificates
- Image Processing (Aug 2024)
- General AI (May 2024)
- Deep Learning (Aug 2023)
- Machine Learning (Jul 2023)
- Data Visualization (Jun 2023)
- Data Science (Jun 2023)
- Python Programming (May 2023)
Languages
Frequently Asked Questions
Who is Erdoğan Yasin Peker?
Erdoğan Yasin Peker is an AI engineer based in Kırşehir, Türkiye. He graduated in Computer Engineering from Harran University in June 2026, completed an Erasmus+ exchange at AGH University of Krakow in Poland, and has built more than 20 projects in computer vision, large language models, audio, and signal processing. Since July 2026 he has been an Artificial Intelligence Engineer intern at Car Studio AI.
What does Erdoğan Yasin Peker specialize in?
His specialty is multimodal AI: computer vision (YOLO, CNN, and Vision Transformer architectures), LLM fine-tuning, audio processing with Whisper, and vital-signal analysis. His daily toolkit is PyTorch, TensorFlow, scikit-learn, FastAPI, and Docker; he develops in Python, C, C++, Java, and TypeScript.
What is Medora?
Medora is a confidential (NDA) multimodal health AI platform that Erdoğan Yasin Peker designed and built end-to-end: 201 FastAPI routes, 10 disease-prediction ML models, a React web client, and a Flutter mobile app with 30+ screens. It covers skin-lesion analysis, prescription OCR, speech recognition with Whisper, anomaly detection over vital measurements, and WCAG 2.1 AA accessibility. The source is closed; a live demo is available on request.
Where has Erdoğan Yasin Peker worked?
Since July 2026 he has been an Artificial Intelligence Engineer intern at Car Studio AI in Kocaeli, Türkiye. Before that he was an AI Engineer at CerebrAI-VorTX from January 2025 to May 2026, completed AI engineering internships at Bluesense AI (dermatological analysis systems) and eCloud Software Technologies (a medical-domain LLM), finished the Game and Application Academy trainee program, and led a team in the Teknofest Healthcare AI category.
What certifications does he hold?
He holds 13 certifications: Google Advanced Data Analytics and Google Project Management (Coursera), Google Academy programs in data science, web development, and entrepreneurship, a Presidency of Türkiye Digital Transformation Office program on mass detection in mammography, and Udemy courses in machine learning, deep learning, image processing, and data science.
Is he open to job offers and collaborations?
Yes. He is based in Kırşehir, Türkiye and open to remote, hybrid, and on-site work. He speaks Turkish (native) and English (B2+). He can be reached at erdoganpeker4@gmail.com or on WhatsApp (+90 553 495 14 33), and usually replies the same day.
What are his competition achievements?
In 2026 he finished 2nd in Türkiye in the Disaster, Security, Resilience and Education Technologies category of the TEKNOOCAK Technology and Innovation Festival, organised by the Ülkü Ocakları Education and Culture Foundation. He reached the Türkiye finals in two different Teknofest categories and led a team in the 2024 Healthcare AI category working on cancer detection in medical images. He placed 100th in the BTK Academy Datathon with a student-performance evaluation model, and he also took part in the 2026 PROJEXeleration entrepreneurship and R&D acceleration programme.