I am a rising senior at Columbia University, majoring in Mechanical Engineering and minoring in Computer Science.
My interests lie in applying data-driven computational techniques to optimize mechanical engineering processes, including manufacturing, robotics, and automation. I aim to further integrate computer science and algorithms to enhance industrial efficiency and innovation.
Experience
This website is under construction.
Education
B.S. Mechanical Engineering, Minor in Computer Science @ Columbia University
Sep 2021 — May 2025 (Ongoing)
Industry
Manufacturing Design Engineer Intern @ Samsara, Global Operations
May 2024 — Aug 2024
Data Engineer Intern @ Tesla, Cell Manufacturing
May 2023 — Aug 2023
Research
Research Assistant @ Columbia, Sia Lab
Jan 2024 — May 2024
Research Assistant @ Columbia, Cardiovascular Biomechanics Research Lab
May 2022 — Oct 2022
Projects
This website is under construction.
inclusive filtering
Sudoku Solver
Dash
AI/ML
Sudoku Solver
AI sudoku solver embedded into a Dash App.
NYC Subway Dash App
Dash
NYC Subway Dash App
Releasing soon. Real-time MTA Subway data embedded into a Dash App.
Factory Utilization Optimization
Dash
AI/ML
Factory Utilization Optimization
Releasing soon. Calculate the most viable distribution of factory work to meet maximum demand coverage given the supply of SKUs, demand of SKUs, and capacity of factories.
Educational Toy
Design
Educational Addition & Subtraction Toy
CAD model.
Toy Garbage Truck CAD
Design
Toy Garbage Truck CAD Model
Columbia Research Symposium Poster: Aortic Root Aneurysm Research
Research
Aortic Root Aneurysm Research
Patient-specific aortic root aneurysm analysis.
JAAVSO Publication: Qatar-1b Star System Research
Research
Analyzing Transit Timing Variations of Qatar-1b
This study investigates 13 transits of Qatar-1b from archival data collected using 6-inch telescopes in the
MicroObservatory network. The purpose of this transit analysis was to update transit midpoints of Qatar-1b to maintain the
ephemeris. Additionally, the study sought to uncover trends in the transit data, which could provide more information about the
exoplanet. In order to achieve this goal, the EXOplanet Transit Interpretation Code (EXOTIC) pipeline was used to process these
transits and generate light curves, which were contributed to the American Association of Variable Star Observers (AAVSO)
Exoplanet Database. The analysis of the data did not indicate the presence of other planets in the system. This study contributes
observations of the star system Qatar-1b and supports the current ephemeris of this planet.
AGU Fall Meeting Poster: Terrestrial Gamma-Ray Flashes
Research
Quantifying High Probability Deployment Sites for Downward Terrestrial Gamma Ray Flash Observations
Locate potential sites to deploy six ground detection terrestrial gamma ray flash instruments. Developed a python script to overlay data correlating with high terrestrial gamma ray flash occurences. Generated topographical visualizations across the globe that quantify terrestrial gamma ray flash "hotspots." Presented findings at the 2020 American Geophysical Fall Meeting.
Personal Website
This Website
Personal website built from scratch using HTML, CSS, and JavaScript.
