Specializing in Artificial Intelligence for Science and Technology. Focusing on advanced machine learning architectures and their application in scientific domains.
Graduated with Excellence (GPA 3.9). Built a strong foundation in software engineering, embedded systems, and computer architecture.
Excellence with Honors
GPA 3.9 / 4.0
Worked in the HAV team developing critical debugging and profiling tools for threading and ethernet communications. Enhanced system reliability and diagnostic capabilities.
Led a team of 11 to victory in the Micro-Mouse maze solving competition. Also secured 3rd place in the line follower category.
Developed a shop application demo, gaining hands-on experience with enterprise software development workflows.
Intensive summer course covering cryptography, penetration testing, malware analysis, and reverse engineering.
Deep dive into AVR microcontrollers and embedded system architecture.

A benchmarking framework for evaluating RL agents using explainability methods (SHAP, LIME, LMUT). Built in collaboration with Ericsson to improve trust in autonomous systems.
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