Alper Ozaydin

• Develop, test, and operate Python based internal tools to maintain our machine learning based malware detection systems by using containerization (Docker, Kubernetes) and cloud technologies (AWS) • Improve the quality of CI/CD pipelines by applying automation in building, testing (pytest) and deployment • Migrate legacy ML products to Kubernetes and create automated K8s deployments with Python • Reduce the cost of production pipelines by up to %50 with the knowledge of multiprocessing and threading

• Work on machine learning based products that automatically detect and categorize malicious software • Responsible for entire system development life cycle of one of the ML products that detects new malware and threats • Build a big data pipeline which continuously processes millions of data for machine learning products

• Develop a part of the new antivirus desktop application for Mac OS (Swift 5, SwiftUI, Combine) • Devise and maintain automation tests of Avira Antivirus for Mac (Python) • Work in R&D projects and developed a terminology checker plugin for Microsoft Office Word (C#)

• Responsible for the website and server administration in student union at University of Konstanz • Used Javascript to Implement “Wahlmaschine” to AStA website for the June election at the university

• Experienced Ionic Framework and Apache Cordova • Developed a hybrid mobile application for the science center by using Angular JS

• Used C# and designed a basic website by using ASP.NET • Implemented some features on the company’s current website

• Experienced Postgre SQL, constructed a database • Performed SQL Scripts and implemented specific functions and triggers • Devised a basic map by using QGIS technology

Master Thesis: Visual Analytics for User-steerable Similarity Search of Research Papers Description: Design a visual analytics system to improve the process of research, incorporating various visualizations with a novel similarity measure that progressively learns from user interactions (Python, Flask, HTML/CSS, Javascript, MongoDB, scikit-learn, numpy) Keywords: Data Mining, Data Visualization, Machine Learning, Progressive Learning, Text Similarity