Three graduate programs shaped three parts of how I work: technical depth, applied research, and the ability to lead through complexity.
I pursued leadership as a complement to engineering—not a departure from it. The program covered organizational behavior, strategy, global management, and decision-making.
Applied perspectiveThe work strengthened how I present technical ideas, invite useful disagreement, lead discussions, and help teams move from ambiguity to a clear decision.
Deepened my focus on machine learning and distributed systems through computer vision, information retrieval, advanced algorithms, and hands-on research.
Selected workExplored transformer architectures in a major deep-learning project, then continued a computer-vision concept as a research assistant after graduation.
Built the computer-science foundation that still shapes how I approach systems, with an early concentration in machine learning.
Selected workSelected for the small team behind J-Hub and helped turn a university initiative into a working platform for events, competitions, conferences, and registrations.