Journey

Learning across
connected systems.

My path is deliberately multidisciplinary: civil engineering gives me the physical context, while sensing, robotics, AI and software expand what I can measure, automate and understand.

01
PHYSICAL WORLD

Civil Engineering

Building the physical-engineering foundation through structures, materials, infrastructure and the built environment.

GIKI
02
SENSE + CONTROL

Embedded Systems

Connecting sensors, microcontrollers, motor control and wireless telemetry to physical environments.

Hands-on projects
03
DATA + LEARN

Machine Learning

Learning how data can support prediction, classification and more informed engineering decisions.

DeepLearning.AI · Stanford Online
04
PERCEIVE + ACT

Robotics & Computer Vision

Exploring navigation, perception, inspection and the interface between computation and the built world.

Independent experimentation