Education

Gatech 2026

B.S. in Electrical Engineering (4.0)

I am a senior at Georgia Tech studying Electrical Engineering specializing in Robotics and Sensing and Exploration. I am also pursuing a Minor in Computing and Intelligence. Through my classes I have gotten extensive experience in Control Theory, Signal Processing, Machine Learning, and Electromagnetics.

Involvements and Distinctions

GT Grand Challenges

Georgia Tech Living Learning Community
As part of GT’s Grand Challenges program, my team tackled the problem of methane emissions from cattle farming. We explored solutions such as sequestration, catalytic conversion to CO₂, and dietary interventions. This experience taught me how to frame and approach large, open-ended problems. I also visited farms to understand real-world sustainability challenges. Our project won Best Project at the Grand Challenges Expo.

Electrify GT

Campus Vehicle Electrification Analysis
Collaborated on a campus-wide study analyzing Georgia Tech’s gasoline usage and fleet data to identify vehicles best suited for electrification. Presented findings to university administration, with results acknowledged in a scientific report published in Nature.

GT-Europe

Summer Study Abroad – Lorraine, France (2023)
Spent a semester abroad at GT-Europe, where I expanded my academic and cultural perspectives while traveling across Europe and experiencing diverse cultures firsthand.

Faculty Honors / Dean's List

Maintained a 4.0/4.0 GPA at Georgia Tech, earning Faculty Honors and Dean’s List recognition every semester.

Class Highlights

Control System Design (ECE 4550)

Design and analysis of control systems using state space methods. Lab component focused on implementing control algorithms on a micro controller. Culminated in the stabilization of an inverted pendulum.

Feedback Control Systems (ECE 3550)

Fundamentals of classical feedback control including stability analysis with root locus plots, Nyquist plots, and Bode plots.

Digital Signal Processing (ECE 4270)

Digital filter theory and implementation using Fourier Transforms, Z Transforms, and Power Spectral Density. Introduction to random signal processing and statistical analysis.

Electromagnetic Applications (ECE 4350)

2nd course on electromagnetic physics and maxwells equations. Focus on applications to RF and optical systems.

Machine Learning (CS 4641)

Introduction to statistical techniques, machine learning techniques and numerical optimization.

Special Problems (ECE 4902)

Fundamentals of optimal control with a focus on exploring sample problems and underlying mathematics.

Integrated Optics (ECE 6520) In Progress

Electromagnetic theory applied to optical systems.

Random Signals and Applications (ECE 4260) In Progress

Advanced statistical techniques and applications to signal processing.

Automation and Robotics (ECE 4560) In Progress

Robotics fundamentals including dynamics, forward/inverse kinematics, and control.