Machine Learning Engineer • Software Developer • Computer Science Lecturer
📍 Dubai, United Arab Emirates
| 🌐 Website | 💻 GitHub |
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I combine industry experience with academia, currently serving as a Lecturer in Computer Science at Al-Shamal Private University while continuing to advance machine learning applications across diverse domains—from medical diagnostics to data compression and beyond.
As a lecturer, I teach undergraduate courses in Informatics Engineering, develop curriculum materials, supervise student projects and research, and contribute to academic activities. Previously working as a Data Scientist in Dubai, I specialized in end-to-end machine learning workflows: collecting and preprocessing large datasets, building predictive models, and translating insights into actionable business strategies.
My technical toolkit includes Python, TensorFlow, PyTorch, and scikit-learn, with hands-on experience in classification, regression, clustering, and deep learning architectures. I hold an MSc in Computer Science Engineering from Akdeniz University, where my thesis explored Vector Quantized Variational Autoencoders (VQ-VAE) for image compression.
Full-Time Lecturer – Computer Science (Informatics Engineering)
October 2025 - Present | Syria
Data Science Intern
July 2025 - Present | Dubai, United Arab Emirates
Medical Interpreter
April 2024 - July 2025
Information Communication Technology Trainer - ICT
August 2023 - April 2024 | Antalya, Türkiye
Research Assistant
March 2019 - December 2019 | Antalya, Türkiye
Web Developer - Magazine Director and Designer
June 2016 - February 2021 | Gaziantep, Türkiye
Master of Science - Computer Engineering
March 2019 - January 2022
Thesis: Vector Quantized Variational Autoencoders (VQ-VAE) for image compression
Erasmus Exchange Program - Computer Science
December 2020 - June 2021
Bachelor’s Degree - Electrical and Electronics Engineering
September 2010 - September 2015
Machine Learning & AI:
TensorFlow, PyTorch, scikit-learn, Deep Learning, Classification, Regression, Clustering, Neural Networks, VQ-VAE
Programming:
Python, Web Development, Software Development, Database Design
Data Science:
Data Preprocessing, EDA, Statistical Modeling, Power BI, Tableau, Matplotlib, Seaborn
Research & Academia:
Curriculum Development, Research Methodology, Technical Writing, Student Supervision
Prof. Dr. Melih Gunay
Akdeniz University Computer Engineering - Head of Department
📧 [email protected] | ☎ +90 242 310 6324
Asst. Prof. Dr. Joseph William Ledet
Master Degree Advisor
📧 [email protected] | ☎ +90 531 603 8079