Led a team of 15 in a Mechanical Engineering Product Development class through creating a project timeline, structuring task forces, and facilitating communication across cross-functional teams to progress from product ideation to a high-quality, functional alpha prototype ready for launch
Performed in-depth market research, competitive analysis, and user interviews to inform product decisions and drive rapid iteration, ensuring alignment with user needs and market demands
Presented @ ~43:34 the alpha prototype to a live audience of ~1,100 and a webcast audience of tens of thousands
Developed a data visualization mapping application for geospatial data retrieval using React, TypeScript, MapLibre GL, and Cloudscape UI with comprehensive unit/integration testing
Implemented a dynamic data handling system that processes over 200+ GeoJSON files in real-time, resulting in a 67% increase in data fidelity compared to the current system
Evaluated and compared mapping libraries by developing mock applications, and selected the library that best fit the final application's requirements for integration and functionality
Spatial Equity NYC visualizes mobility, environment, and health data across NYC, highlighting inequities. Developed at MIT's Leventhal Center for Advanced Urbanism with Transportation Alternatives, it helps users compare neighborhoods and rankings to help advocate for safer, more sustainable transport options in NYC
Implemented data APIs requests and programmed design concepts into data visualizations for the site Spatial Equity NYC using React, Mapbox, deck.jl, and d3.js
Partnered with Transportation Alternatives and cross-functional teams to identify user needs and implement interface improvements during weekly meetings
Developed an image processing algorithm that count microbe cells in Python with a 94% accuracy rate
Developed a cell segmentation algorithm in Python to detect and isolate individual microbes in an image
Designed and built an inexpensive optimal density sensor to monitor the impact of global warming on the growth of microbes and programmed in C++ to make the system automated
