About

I'm a passionate Electrical and Computer Engineering student at Cornell University who enjoys the musical arts through piano and viola performances, dance, and by producing original songs.

• Goal: To pursue a career in electrical engineering

• College: Cornell University

• Degree: Bachelor of Science

• Major: Electrical and Computer Engineering

Portfolio

Real-time software

i-kiwi-ki

Survival game with gryoscopic controller

MIDI Visualizer

Piano visual effects app

LED VU Meter

Embedded Systems Final Project

RiffMIDI

A guitar anyone can play!

Skills

Programming Languages

Python

OOP, Data Science, and PyGame

C++

FSM's, Arduino, and JUCE Audio Plug-ins

Java

OOP, DSAJ, and Swing GUIs

C

Embedded Systems

Assembly

Embedded Systems

Verilog HDL

Digital Logic + Teaching Assistant

Libraries & Frameworks

Swing

Java

JUCE

C++

NumPy

Python

Matplotlib

Python

Tools

FPGAs

Digital Logic

LTspice

Circuit Analysis

Microcontrollers

Embedded Systems + Arduino

Confluence

googletest

cmake

Relevant Coursework

Computer related courses

Computing Using Python

CS 1110: Python course emphasizing software development principles, procedures, functions, iteration, recursion, arrays, strings, algorithm design, and object-oriented programming.

The Complete Python Bootcamp From Zero to Hero in Python

Udemy Certificate Link

Object-Oriented Programming & Data Structures

CS 2110: Java course emphasizing Data Structures, asymptotic complexity, big "O" notation, recursion, searching/sorting and graph algorithms.

Learn Spring Course

Codecademy Certificate Link

Digital Logic & Computer Organization

ECE 2300: Learn Boolean logic, state machines, digital logic design, memory systems, and CPU basics, with hands-on FPGA projects, for a strong foundation in digital systems.

Embedded Systems

ECE 3140: Course on understanding the interaction between hardware, software, and the physical world. Topics covered include assembly language programming, interrupts, I/O, concurrency management, scheduling, resource management, and real-time constraints.

C++ for Programmers Course

Codecademy Certificate Link

Data Science

ECE 2720: Intro to data science for engineers. Covers data workflow, tools like PCA, probability, statistical inference, and techniques for data analysis. Includes ethical considerations and Python projects.

Intro to Circuits

ECE 2100: Intro to electronic circuits covers basic quantities, circuit analysis, passive elements, active components, Laplace transforms, lab experiments, and MATLAB modeling for practical understanding.

Computer Architecture

ECE 4750: comprehensive foundation in modern computer system architecture, focusing on processors, memories, and networks, with a hands-on project where students design and evaluate a multicore system using advanced architectural concepts.

Computer Vision

ECE 4230: Introduction to computer vision, focusing on image processing, feature extraction, and machine learning techniques such as convolutional neural networks and deep learning for autonomous applications, with an emphasis on machine interpretation of images for decision making.

Signals and Systems

ECE 3250: Rigorous exploration of discrete- and continuous-time signals and systems, covering topics such as time- and frequency-domain analysis, Fourier transforms, sampling theory, and advanced mathematical tools like vector spaces and orthogonal expansions, with a computational component in homework assignments.

Electromagnetic Fields & Waves

ECE 3030: Covers static, quasi-static, and dynamic electromagnetic fields and waves, focusing on Maxwell’s equations, wave propagation, material interactions, and applications such as waveguides, antennas, and transmission lines, including design and analysis techniques.