Academics

Education

Capstone: Data Science Capstone

Graduate	Undergraduate	Other/Seminars
Natural Language Processing	Systems Programming	Differential Equations
Computational Complexity	Data Management	Linear Algebra
Machine Learning	Algorithms	Linear Analysis
Machine Learning for Big Data	Data Visualization	Advanced Linear Algebra
Artificial Intelligence	Database Systems Internals	Mathematics of Democracy (Special Offering)
Deep Learning	Operating Systems	Robotics Colloquium
	Computer Vision	Systems Seminar
	Computer Communication Networks	Security Seminar
	Computer Security	Scientific Computing

Course: Artificial Intelligence (SP ‘22)
Partner(s): Arkaprabha Bhattacharya
A GRU-based neural network model that classifies tweets as being related to real disaster/emergency events or not
Achieved a test accuracy of 0.81152

Course: Computer Vision (SP ‘22)
Partner(s): Phuong Nguyen
An exploration of different transfer learning approaches using popular image classification models such as AlexNet and ResNet-18 to classify different varieties of rice

Course: Deep Learning (AU ‘21)
Partner(s): Arkaprabha Bhattacharya
An exploration of RNN architectures to transliterate English phonetic spellings of South Asian language words into the respective language’s script
Languages explored: Tamil, Malayalam, Bengali, Hindi

Data Science Capstone Project (AU ‘21)
Partner(s): Rehaan Bhimani, Michael Wilson, Alan Liu
An exploration of regression analysis and matching analysis methods to understand the individual impacts of socioeconomic and climatic factors on mental health outcomes in United States counties
Regression models explored: Lasso, Ridge, LinearGAM, Gradient Boosting, Random Forest
We employ Nearest Neighbor Matching with replacement using the Generalized Linear Model distance metric and tune a caliper as needed for producing high-quality matchings

Graduate Research Assistant
Seattle, WA
Oct 2021 - Mar 2022
Project: pHastCam

Built a prototype Android application to take RAW and YUV format images of specially designed pH indicator strips
Integrated realtime image analysis using OpenCV as a means of assessing image quality
Skills: OpenCV, Java, Android Studio

Technical Project Lead
Seattle, WA
Jul 2019 - Jun 2021
Project: Laboratory Reconciliation and Information Project (LARI)

Spearheaded the development of the project using Agile project management methodologies
Migrated the project codebase from Perforce to GitHub
Led the data migration process from Excel sheets and XML files into SQLite databases
New data management solution led to an 80% increase in efficiency between aircraft readiness and flight testing
Skills: SQLite, Java

Undergraduate Research Assistant
Seattle, WA
Apr 2019 - Jul 2019
Project: Laboratory Reconciliation and Information Project (LARI)

Developed a database management application for internal lab purposes to track hardware components and flight data
Implemented automatic flight test checklist generation using component tracking data
Skills: SQLite, Java, C#

Graduate Teaching Assistant
Seattle, WA
Sep 2021 - Jun 2022

This course is the non-major version of the CSE 442 course below
Led a weekly TA teaching session, teaching and creating activities to build proficiency in visualization tools and libraries in addition to the below responsibilities
Skills: JavaScript, p5.js, Vega-Lite, Tableau, Observable

Hosted office hours to answer students’ conceptual and technical questions, and help resolve technical issues for visualization libraries and platforms
Graded assignments and provided feedback on visualization designs, static visualizations, interactive visualizations, web-based visualizations and more
Monitored the course discussion board and resolved questions regarding visualization concepts and implementations
Co-led an interactive walkthrough lecture on D3.js (twice with Vishal Devireddy)
Skills: TypeScript, JavaScript, HTML, CSS, D3.js, Vega-Lite, Tableau, Observable