I am a dynamic and results-oriented full-stack engineer with a Master's in Cyber Security and a Ph.D. in Web Security and Data Privacy. With a strong academic foundation and hands-on expertise, I actively contribute to the entire development process, from interacting with stakeholders to understanding business needs, and capturing requirements in User Stories, to development, unit testing, and documentation. I have proficiency in cloud services, ASP.NET MVC 5, C#, Node.js, JavaScript, TypeScript, Python, Puppeteer, SQL, and Entity Framework, browser extension development. Additionally, I conducted large-scale web measurement studies to investigate privacy and security issues on the Web during my doctoral research. This combination of practical skills and academic knowledge positions me to deliver innovative solutions and drive impactful outcomes in software engineering.
● Conducting empirical research on online tracking mechanisms at a large scale.
● Designing web crawlers using Node.js and Puppeteer specifically for measurement studies.
● Executing crawls on the most popular web pages (both 100K and 1M) to inspect online trackers.
● Conducting analyses on the crawled data using Python.
● Developing browser extension.
● Participated in the Privacy Budget project.
● Investigated use cases of browser fingerprinting, focusing on its legitimate uses.
● Trained an ML model to identify login and signup pages, enabling the analysis of browser fingerprinting attempts on those specific pages.
● Developed browser add-on by using the ML model.