Education

Purdue University

Ph.D. Candidate · Aeronautical & Astronautical Engineering / Electrical Engineering

Research areas: Earth remote sensing, radar systems, GNSS systems, communication systems, and digital signal processing.

2022 – Dec 2026 (expected)

M.S. · Aeronautical & Astronautical Engineering

Systems and Aerodynamics

2021 – 2022

B.S. · Aeronautical & Astronautical Engineering

Systems Engineering

2017 – 2020
Industry

Internship Experience

Qualcomm logo

Position Engineer, Location Tech · Qualcomm

Santa Clara, California

Sensor fusion between VIO, IMU, and GNSS for mobile and extended-reality positioning; sensor noise and error characterization.

Jun – Sep 2026
Samsung logo

SoC Location System Engineer, Connectivity Lab · Samsung Semiconductor

San Jose, California

TCXO phase-noise simulation and GNSS system analysis, including signal acquisition, tracking-loop stability, MATLAB modeling, and C++ hardware-aligned simulation.

May – Aug 2023
Micron Technology logo

Dry Etch Process Development Engineer · Micron Technology

Boise, Idaho

DRAM/HRAM dry-etch process development, word-line metal process studies, machine-learning-based etch-rate estimation, and cross-functional process integration.

May – Sep 2022
Research

Selected Projects

DroneSAR — UAV-Based S-Band Synthetic Aperture Radar

Lead development of a small-UAV fully polarimetric S-band SAR system, including system integration, calibration, SAR processing, interference filtering, motion compensation, georeferencing, and field campaigns.

Soil Moisture & Biomass Retrieval

Development of retrieval algorithms using calibrated radar data and in-situ measurements, with current work extending toward uncertainty-aware retrieval and data assimilation.

GNSS-R Synthetic Aperture Radar

Concept and algorithm development for SAR processing using GNSS reflectometry signals, including satellite-position solutions and phased-array processing for directional ambiguity.

CYGNSS Soil Moisture Data Assimilation

Development of Ensemble Kalman Filter workflows for assimilating GNSS-R soil-moisture products into a hydrologic model for root-zone soil-moisture estimation.

SNOOPI — P-Band Signals of Opportunity

Algorithm development for an in-space demonstration of Earth remote sensing using P-band communication signals of opportunity.

Awards

Selected Recognition

Second Place · IEEE IGARSS Student Prize Paper Award

“Soil Moisture Retrieval from a UAV-based S-Band Synthetic Aperture Radar in Bare Agricultural Fields”

2026
Skills

Technical Areas

Synthetic Aperture Radar FMCW Radar Radar Signal Processing Microwave Remote Sensing Soil Moisture Retrieval GNSS / GNSS-R Signals of Opportunity Sensor Fusion VIO / IMU / GNSS Kalman Filtering Factor Graphs MATLAB / C++ Simulation Semiconductor Process Development