Software Architect • Machine Learning Engineer • Data Scientist • Life-long Learner

I'm a passionate Software Architect with 30+ years of experience building intelligent software systems in finance, energy, and government sectors. My journey blends deep expertise in software architecture and development with cutting-edge work in artificial intelligence, machine learning, and data science. I love designing robust, scalable solutions and exploring new technologies—especially those that push the boundaries of intelligent automation.

“I really know what a Monad is.” 😄

Industry Knowledge:
Artificial Intelligence, Machine Learning, Deep Learning, Reinforcement Learning, Bayesian ML, Probabilistic Programming, Data Science, Statistics, Distributed Systems, Microservices, Software Architecture, Design Patterns, Data Structures & Algorithms

Programming Languages:
C, C++, C#, Rust, Go, Python, R, F#

ML Tools & Frameworks:
TensorFlow, Keras, PyTorch, SciPy, scikit-learn, NumPy, Pandas, networkx

Frameworks/Libraries:
.NET (WPF, Silverlight, ASP.NET MVC/WebForms/SignalR), Lucene.NET, Infragistics

Databases & OS:
Oracle, MS SQL Server, RDBMS, NoSQL, Linux (Fedora), Windows

Other Tools:
Kubernetes, Docker, Anaconda, Jupyter, Visual Studio, SQL Server Management Studio

• Stock Market Surveillance System: Designed & implemented real-time stock market monitoring (C#, Oracle, MSMQ).
• Stock Market Data Analysis and Mining Platform: WPF/C# platform for fraud detection in stock trading using advanced analytics and database-embedded R scripts.
• Multi-Label Text Classification Service: Fine-tuned Huggingface Turkish BERT to automate classification of government applications (Python/PyTorch).
• Person Names Masking Service: Used Turkish BERT for privacy compliance in weekly bulletins.
• Search Engine for TIFF Documents: Lucene.NET-based with OCR and rule-based NER for document analysis; added social network analysis with Python networkx.
• News Portal & Web Crawler: Automated news classification and web content categorization (SVM, ASP.NET, C#).
• High-School Time Table Generator (Freeware): Built using Simulated Annealing in C#.

More project details in my pinned repos 👇

• MBA – Bilkent University
• MSc (Courses Completed) – Computer Engineering, ODTÜ
• BSc – Computer Science & Engineering, Hacettepe University

MOOC Certificates:
Deep Learning, Machine Learning, NLP, Bayesian Methods, Social Network Analysis, Rust, Go, Kubernetes, Open Source, Linux, Concurrency, and more (Coursera, Udemy).

• Email: eerisken@gmail.com
• LinkedIn: linkedin.com/in/eerisken
• Location: Ankara, Turkey

• I genuinely enjoy learning and sharing knowledge, especially about deep learning, AI and programming.