I am a sophomore studying CS and business through the dual degree Jerome Fisher Program in Management and Technology at the University of Pennsylvania. I aspire to make the world a better place by innovating new ideas and rethinking current ones.
I am extremely excited about the future of robotics, machine learning, and biomechanics. Currently, I research approaches to drone detection in simulation at the GRASP robotics lab and use ML to optimize aerodynamics as part of the Penn Electric Racing team.
I enjoy participating in MLH hackathons with friends and have worked on various projects that involved programming languages such as JAVA, Python, and Ruby on Rails.
Feel free reach out to me at firstname.lastname@example.org regarding any cool ideas, opportunities, or questions!
Blue Stamp Engineering | 2015
In this summer program, I planned, designed, and built a robotic hand controlled by myoelectric signals in the forearm. The goal was to create a low cost, reproducible, and advanced hand prosthetic to attempt to solve the problem of expensive prosthetics. I worked with 3D printing software and learned the design process to go from scratch to a final product. I continued this project and displayed at the Pre-Collegiate Stanford Science Conference and the Synopsys Science Fair.
NASA SEES Internship | 2016
During this research internship at the J.J Pickle Research Center in partnership with UT Austin, I worked with the MAGIC (Mid-American Geospatial Information Center), to create a web app to help emergency responders. Specifically, I developed a real-time world earthquake map to provide information such as location and dangers about events. Aside from my main project, I learned how NASA responds to natural disasters and the importance of remote sensing.
UCLA HSSRP | 2017
During this 8-week internship, my project was to prove the practicality of an alternative architecture known as distributed computing that divides the workload across many smaller computers instead of investing resources to build a powerful supercomputer. My task was to create an SVM classification algorithm from scratch (i.e. no external Python libraries) that implements distributed computing to prove its applicability in the real world.
Project YX | 2018
After winning a 2nd place at CruzHacks, the sponsoring company, Project YX, asked our team to work with them over the summer. I worked on a new machine learning project that would automatically categorize and upload an article of clothing to a digital wardrobe after a stylist takes a picture of it. The tool was built on Ruby on Rails, and implemented Clarifai's object detection software. The workflow receives raw images of clothing and tags their type (shirt, pant, and 35 more categories) using Clarifai.
Xilinx | 2019
This was my first experience at a large company and a dedicated manager. My project was to use the Yocto flow to create linux distros that enables more developers to program FPGAs with a Python based platform called PYNQ. I modified Jupyter notebooks that implemented BNNs (Binary Neural Networks) to minimize dependencies and became fluent with Git rebases and remotes. Finally, I converted my work into packages that can be installed from a DNF server onto a device.
??? | 2020
For my design, I combined the latest technologies of 3D printing and myoelectric sensors to create a non-invasive bionic hand that is controlled by the impulses in the forearm. I used spools and placed the DC motors into the palms of the hand to mimic the muscles in the hand. The brain of the hand is an Arduino UNO and is powered by 12V.
EAGLE (Earthquake Analysis GIS Layer Engine) queries live earthquake data from USGS from the past 24 hours and displays them on a map, color coded to their magnitude. By clicking on the circles the user can access information such as time, location, and elevation. the hand is an Arduino UNO and is powered by 12V.
The alternative voting system solves the spoiler effect problem in a normal popular vote system by allowing voters to rank the candidates. This website allows users to create elections that stores data in a PostGres database and allows voters to cast their votes in a minimalistic environment.
This algorithm analyzes the video feed from the tip of the bronchoscopy tool to generate and reconstruct a 3D model of the lungs as the doctor moves the bronchoscope deeper into the lungs. By using MATLAB's image processing and math toolbox, I created a GUI-fied version of my algorithm as an radiation-free enhancement for doctors who perform the procedure. This project was selected to be presented at the California State Science Fair.
Iris is a device that helps blind people learn Braille. The device is made of cardboard and 2 3D printed octagons and spikes that can rotate to form any character in the Braille language. An accompanying app, which has been designed with a minimilistic UI for the visually impaired, serves as the controller and provides a test and learn mode. The device's arduino (MKR1000) communicates with the app through WiFi.
1/2018 - Top 300 Scholar for the Regeneron Science Talent Search
3/2017 - 1 st Place in Bioengineering and Computational Biology Category and Qualified to California State Science Fair
3/2017 - 1 st Place for Best iOS App at HSHacks III
11/2016 - Best Overall App at GunnHacks
5/2016 - Top 20 International Finalist, DECA ICDC
3/2016 - 1 st Place, Entrepreneurship Independent Business, 2016 DECA SCDC
3/2015 - 4 sth Place, Entrepreneurship Startup Business, 2016 DECA SCDC
2/2015 - Inspire Award, FTC Robotics