About
I am a sophomore studying Engineering with Computing at Olin College of Engineering.
Detail-oriented software engineering student with prior experience in Python (NumPy, pandas, matplotlib), Swift (SwiftUI, ARKit, UIKit), MATLAB, and Java.
Experience
- Use Swift to build Clew Maps, an indoor navigation and route sourcing app for the blind and visually impaired
- Collect, analyze, and visualize user and survey data with Python (pandas, Matplotlib)
- Conduct user interviews with 25+ codesigners to inform design decisions
- Skills: Swift (SwiftUI, ARKit, UIKit), Python (pandas, Matplotlib), UX & UI Design
- Awarded Clare Boothe Luce research funding for Summer 2021 and AY 2021-22
- Manage a team of 30+ members and budget of $13K, overseeing 5 subteams and multiple R&D projects
- Shorten the development cycle from 2 years to 9 months, holding 3 external reviews annually
- Skills: leadership, management, budgeting
- Used SolidWorks to design structural components of a six-university CubeSat to meet requirements
- Skills: SolidWorks, project management, mechanical design
- Publication: “Coordinating Development of the SWARM-EX CubeSat Swarm Across Multiple Institutions,” Small Satellite Conference 2021, Spring 2021
- Publication:"3U CubeSat Structure Design and Analysis for SWARM-EX Low Earth Orbit Mission," 18th Annual CubeSat Developers Workshop, 27–29 April 2021.
- Awarded Massachusetts Space Grant research funding for Spring 2021
- Teach students skills in MATLAB during office hours and provide in-class support
- Skills: MATLAB, teaching
- Analyzed and validated data sets using Python (NumPy, pandas, Bokeh)
- Created and presented literature reviews and summaries for the group
- Skills: Python, data visualization, literature review
Projects
Build a prototype storefront for the college gear store, raising $1.2k over 5 days.
- Skills: agile framework, market research, user interviews, project management
- Identify and solve an open-ended problem in a team of 5 for Olin’s foundational entrepreneurship course
- In a 5-day sprint, sell 293 items to 237 supporters with $1,207 in profit, conducting user and market research
Perform and visualize sentiment analysis on a subreddit's top comment.
Using machine learning to explore the impact of race on housing appraisals on Boston-area properties in 1970.
- Skills: MATLAB, machine learning, data visualization, linear algebra (linear regression, principal component analysis, eigendecomposition, nearest-neighbor searching)
- Repurposed the Eigenfaces for Recognition classification algorithm to use the Boston housing dataset
- Conclude that race-aware appraisals are more accurate than race-blind appraisals in this dataset
Skills
Languages
Programs
Soft Skills
Education
Needham, MA, USA
Degree: B.S. Engineering: Computing
GPA: 4.0
- Data Structures and Algorithms
- Software Design
- Principles of Integrated Engineering
- Modeling and Simulation of the Physical World
- Quantitative Engineering Analysis 1, 2, and 3
- Products and Markets
Relevant Coursework: