I am a Mechanical Engineering student with a focused interest in
how complex systems behave when key variables cannot be directly
observed or controlled. My academic and independent work centers
on understanding how engineering principles—such as modeling,
constraints, and failure analysis—can be applied to systems
operating under uncertainty.
Physical Systems × Information Systems → Uncertainty-Aware Design
Beyond coursework, I build experimental software systems as
research tools to study decision-making, credibility, and
knowledge organization when ground truth is latent or only
partially observable. These systems are not intended as products,
but as testbeds for examining assumptions, confidence modeling,
and system failure modes.
My academic goal is to develop rigorous, interdisciplinary
approaches to system design that integrate physical engineering
constraints with adaptive software models, enabling more
transparent and reliable decision-making under real-world
uncertainty.
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