Various cinematography and software projects I have worked on.
TBC is an organization that is dedicated to education, networking, and providing students industry-sponsored opportunities within the blockchain industry. We organize and host events with speakers to talk about their companies and experiences as well as sponsor student-led blockchain projects.
Senior Capstone Project 2018-2019
THE PROJECT: PERFORM NLP ON FINANCIAL DOCUMENTS TO DISCOVER MEANINGFUL TRENDS As part of my senior capstone project, I worked with Fidelity Investments to research and build a natural language processing tool that parsed companies’ financial documents and extracted keywords to discover meaningful trends within the data sets. The technologies used include React, Flask, Gensim, and MongoDB.
THE PROJECT: AGGREGATE UBX DATA INTO ONE USER INTERFACEAs part of the Universal Behavior Exchange team within IBM’s Watson Customer Engagement Division during summer of 2017, I designed and developed an internal dashboard view for UBX account and marketing performance metrics using Angular 2+ with Webpack. This dashboard aggregates UBX account data into one place for executives and managers to more easily locate, analyze, and review the data in real time. The technologies used include Angular 2+, TypeScript, HTML, CSS, NodeJS, NPM, Neutrino API, and IBM’s Peretz Component API.
THE PROJECT: USE IBM WATSON TECHNOLOGY IN A 3-DAY HACKATHON:As part of my internship at IBM’s Mass Lab, I took part in IBM’s annual Bluehack, a nationwide IBM hackathon where interns are given 24 hours over the course of three days to develop a working prototype and business model for a new product. Along with five software development interns, I helped create Styl.us which lets users find clothing to match what they already have in their closet.
We received second place in the Video Comprehension Solutions Challenge category.
Dan Grichevsky: Developed file transfer to upload images to back end server Brighton Kamen: Designed app, filmed & edited video, created business plan Jordan Love: Developed the suggestion engine to return clothing options Alex Thurston: Trained the classifiers to recognize clothing types and patterns Andrew Ton: Built the back end server Clark Wu: Developed app interface and front end demo