Jun 2019 – Oct 2022 · 3 yrs 4 mos · New York, New York

Jun 2018 – Aug 2018 · 2 mos · New York, New York

Jun 2017 – Aug 2017 · 2 mos · New York, New York

Jan 2017 – May 2018 · 1 yr 4 mos

• Using Tango to detect 3D objects and distances between certain obstacles in a course
• Goal – Create an Android app for the Tango with audio cues to help the Visually Impaired navigate without any problems
• Use area recognition, depth perception and motion tracking to precisely locate objects

Jan 2017 – May 2017 · 4 mos

• Created a proof of concept to design an app to navigate through an airport which is connected to the user’s flight information
• Wrote a report with a team to address the technical aspects, risk assessment, and projected impacts of the application
• Won 2nd place when presenting our report at the annual Federal Aviation Administration(FAA) competition

Jul 2016 – May 2017 · 10 mos

• Synthesize a way to extract accurate data from photos taken in various conditions using RawTherapee
• Goal - Create an iOS app using XCode to help crowd source data for citizens
• Produce much cheaper and more effective way of retrieving health data from our environment

May 2016 – Oct 2016 · 5 mos · Vestal, NY

• Programmed an Arduino board to mimic a spindle drill machine
• Developed code to make the additional LED lights on board blink to show whether the drill was going to the right, left, up, down, or diagonal

Sep 2015 – May 2016 · 8 mos · Binghamton

• Collaborated in a team of three to conduct a research project linking biology and computer science
• Synthesized a “fitness function” to find the optimal parental age to have a child (measured by the success of the child income)
• Analyzed large amounts of demographic statistics data from US Census data as well as other literature
• Presented our poster at the ALife XV Conference in Mexico

Jun 2014 – Mar 2015 · 9 mos · Boston

• Collaborated in a team of four to examine a diverse group of US-based post-secondary institutions
• Attended a one week started workship at Boston University to learn the basics of Python and the science of networks
• Collected data from the National Center for Educational Statistics which was pre-processed in Python
• Constructed networks to visualize the different relationships between the institutions
• Analyzed the network using tools in Python library NetworkX, and visualized using Gephi, and Chinese Whispers
• Designed and presented our poster at an official conference, NetSci, in New York City