Experience

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  Lugenergy

  Jun 2017 - Aug 2017

  Software engineer intern

  - Developed scripts using R and Python for data analysis and visualization tasks.- Contributed to C++ project codebase with over 2,000 lines of well-documented and efficient code, focusing on specific modules and functions.- Gained practical experience in memory management by optimizing a section of C++ code, reducing its memory usage by 10%.

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  Json yazılım

  Dec 2017 - May 2018

  Software engineer

  - Increased server response efficiency by 30% through optimized Node.js components.- Established a testing infrastructure using Selenium, resulting in a 12% monthly reduction in bugs reported by the company.- Optimized JavaScript API endpoints in a client application, achieving a 20% improvement in response times.

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  Antalya bilim university

  Jun 2018 - Jun 2019

  Machine learning researcher

  - Conducted in-depth analysis of a protein interaction dataset (50GB), utilizing advanced data processing techniques to manage and interpret complex data.- Developed data visualization tools to represent protein interaction patterns, facilitating easier understanding and interpretation of complex biological data.

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  Florida international university

  Sept 2019 - Jul 2024

  Graduate research assistant

  - Conducted a data-driven approach to analyze security risks and malicious effects of emerging web technologies and applications, in collaboration with Google research.- Created a penetration testing tool for Node.js applications, identifying significant security vulnerabilities that impactedover 2 million web applications, resulting in 19 CVEs.- Published academic papers in top-tier cybersecurity conferences and journals, and filed 2 patents.- Mentored +10 undergraduate/graduate students in a mentorship program funded by Microsoft.- Served as a Teaching Assistant for Object Oriented Programming, Network Security, and Programming with C++ classes Show less

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  Keysight technologies

  May 2022 - Jul 2022

  Machine learning intern

  - Focused on enhancing the capabilities of the Threat Simulator platform.Generated and collected event data sets from various sources, including sandboxes, employing Python for data processing and TensorFlow for model training.- Utilized Python to analyze customer event data, developing a machine learning model that identifies and recommends security assessments for Threat Simulator customers.- Implemented scripts for malicious indicators to MITRE ATT&CK tactics and techniques and integrated these insights withThreat Simulator Assessments.- Developed a recommendation system, integrating log analysis with Threat Simulator metadata to precisely tailor security assessments for each customer. Show less