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Skills & Expertise

Languages

  • Python, PyTorch, Java/JavaScript, ROS, C++

Software

  • MATLAB, Logic Pro, Excel, Greenfoot, EAGLE, ADS

Audio DSP
 

  • FIR/IIR Filtering

  • Spectral anaylsis/synthesis

  • NLMS noise reduction

  • ​Spatial audio and phased array processing

  • Onset/pitch detection

  • ​LTI Systems

  • Multirate DSP

  • Statistical Estimation (Wiener/Kalman)

  • Psychoacoustics

Communications and RF
 

  • Mixing and up/down conversion

  • Transmitter architecture

  • FMCW systems

  • Phased arrays

  • IQ modulation and demodulation

Circuits and Hardware

  • RLC circuits

  • Differential amplifiers

  • Power converters

  • Impedance matching

  • RF testing

  • PCB evaluation and lab validation

ML

  • Transformers, DNNs, CNNs, GANs, Embeddings

Audio Formatting

  • WAV, MP3, AIFF, sample rates

  • Quantization and bit rate effect on quality

Engineering Practices

  • Git/GitLab, Docker, Jira, unit testing

Math & Theory

  • Linear algebra, Geometric Signal Theory

  • Estimation and optimization

Work Experience

2024 - 2025

Algorithm and Signal Processing Researcher

  •  Secret Clearance

  • Researched novel linear algebra algorithms and applied them to radar beamforming

  • Containerized a Radar Signal Processing pipeline with Docker

  • Generated custom datasets for ML beamforming models using a custom radar simulator

  • In a classified project, I worked with RF

2023 - 2024

Capstone Project Electrical Engineering TA

  •  UC Santa Barbara

  • Invited to be TA through professor recommendation after my success in capstone; advised 4 teams of EE seniors.

  • Compiled an original ROS manual to be used by half the teams in the upcoming 2024-25 capstone program.

2022- 2022

Applications Engineering Intern

  • Monolithic Power Systems

  • Simulated and tested power converter topologies; shadowed AEs and FAEs.

  • Evaluated and designed PCBs according to daily tasks.

2021 - 2021

Field Sales Engineering Intern

  • Monolithic Power Systems

  • Worked closely with a small team named MPSNow to sell power devices to the mass market during the pandemic.

  • Designed an Excel program to efficiently analyze sales data and generate biweekly reports for company execs.

Education

2023 - 2024

M.S. in Signal Processing, Minor in Control

  • UC Santa Barbara

  • 3.67 GPA

  • Mens Club Ultimate

  • Capstone EE TA.

2019 - 2023

B.S. in Electrical Engineering

  • UC Santa Barbara

  • 3.69 GPA

  • Dean's Honors

  • Mens Club Ultimate

  • CodersSB

  • IEEE

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