Summary
I am a data analyst and machine learning expert with extensive experience in machine learning and financial technology (fintech). Over the years, I have developed numerous models to improve the accuracy and efficiency of data analysis. My areas of expertise include the design and implementation of optimization algorithms, the development and training of deep neural networks for image recognition tasks, and the analysis of complex financial data. My strong background in machine learning, optimization, and fintech enables me to make valuable contributions to research and applied projects.
Education
- Ph.D., Computer Engineering — Karadeniz Technical University, Trabzon, Turkey, 2018
- Ph.D. (visiting student), Computer Engineering — Linnaeus University, Sweden, 2015
- M.S., Computer Science — Azad University, Sari, Iran, 2012
- B.S., Software Engineering — Mirdamad University of Gorgan, Iran, 2008
Academic Experience & Research
Positions
- Assistant Professor — Dept. of Computer Engineering, Istanbul Topkapı University (2021–Now)
- Lecturer — Dept. of Computer Engineering, Istanbul Bilgi University (2023–2024)
- Assistant Professor — Dept. of Computer Engineering, Avrasya University (2018–2021)
- Lecturer — Azad University (2010–2011)
Research & Teaching
- Research combining reinforcement learning and optimization algorithms for national projects
- Machine learning research for natural language processing
- Published in reputable CS journals & conferences
- Taught AI and ML courses at undergraduate and graduate levels/li>
- Developed novel neural network architectures for recommendation systems
Industry Experience
Data Scientist, Ab Bana Sanat Inc., Gorgan, Iran
- Led a data science team designing predictive analytics models in finance
- Implemented machine learning algorithms for personalized product recommendations
Honors & Awards
- Google Research Grant – Eczema.app (2025)
- Full Scholarship from Turkey (2013–2018)
- High Honor Student, PhD Level (2013–2018)
Certificates & Skills
Certificates
- Neural Networks and Deep Learning
- MLOps: Getting Started
- Improving Deep Neural Networks
- Building Recommender Systems
- Generative AI with LLMs
- Generative AI with RAG & LangChain
- DevOps, DataOps, MLOps
Technical Skills
- Programming: C++, Java, Python (Django)
- ML & DL: Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, Keras, PyTorch
- Optimization, Metaheuristics, Neuro-Fuzzy Systems
- Database: SQL
- Cloud: AWS, GCP (Vertex AI)
- Deployment: Docker, Kubernetes, REST
- MLOps: MLflow, CI/CD, RAG pipelines
Courses Taught
Undergraduate
- Operating System
- Computer Network
- Algorithm Analysis
- Optimization
- Programming Language
- Machine Learning
- Artificial Intelligence
- Programming II
Postgraduate
- Advanced AI Topics
- Expert Systems & Fuzzy Systems
Language Proficiency
Proficient in English, Turkish, and Persian.