Research Experience
Thesis: AI-Powered Tutor for Getting up to Speed with Secure Programming Concepts
Advisor: Dr. Eli Tilevich
Virginia Tech, Department of Computer Science
Feb 2024 - Dec 2025
🔹Developing an AI-powered tutoring system that provides adaptive, pedagogically aligned hints for secure coding exercises. Combines LLM control, prompt engineering, Software Engineering and ML personalization to guide student learning without giving direct answers. This work aims to make generative AI an educator’s ally that helps students get up to speed with this critical tool in the modern programmer’s professional toolkit.
🔗 Thesis Link
Graduate Teaching Assistant
Virginia Tech, Department of Computer Science
Aug 2023 - May 2025
🔹 GTA for CS2114: Software Design and Data Structures
🔹 GTA for CS5704: Software Engineering
🔹 Responsibilities include:
• Conducting lab sessions and office hours
• Grading assignments and exams
• Assisting with handling classes
Research Intern
Deakin University | Melbourne, Australia (Remote)
Feb 2022 - Mar 2022
🔹 Project: Quality Engineering of AI/ML
🔹 Advisor: Dr. Mohamed Abdelrzek
🔹 Research Focus:
• Implemented Explainable AI techniques using SHAP and LIME frameworks
• Analyzed RandomForestClassifier models achieving 92% accuracy
• Developed methods to extract and interpret model explanations
• Applied XAI analysis to enhance model interpretability and trustworthiness
Publications
Covid-19: Comparison of time series forecasting models and hybrid ARIMA-ANN
Rising Threats in Expert Applications and Solutions: Proceedings of FICR-TEAS 2022 • [Springer]
paperImproving security with federated learning
2021 International Conference on Computational Performance • [IEEE Xplore]
paperSummarization of Customer Reviews in Web Services using Natural Language Processing
Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021
paper