Casa

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Casa is a mobile renting marketplace that seeks to address the current dilemma of items not being utilized. On Casa, people can easily find and rent items that they are interested in within their community. They would be able to rent for single time uses or to test out the product and purchase it later on. On the flipside, people can post their listings on Casa and make passive income on items they wouldn’t regularly use. Download it here and feel free to also take a look at our website for more information! Check it out !

I was responsible in desiging the application's functionality and layouts, developing the iOS frontend, and integrating with several APIs (Facebook Login, Braintree, Amplitude Analytics, Twilio). Casa was built with Swift, NodeJS on backend, and Postgres database. Feel free to take a closer look at the app by downloading some screenshots.

We were a runner up at Cal's Venture Capital Pitch Competition and a People's Choice award winner at Cal's Venture Spotlight in 2016.

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Berkeley Mobile

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Berkeley Mobile is a mobile application that offers students relevant school information like dining hall menus, library hours and locaitons, live transit times, and gym hours and capacities. It's used by nearly 2000 students every semester and only growing.

I worked an iOS engineer to design and develop cool features like gym density information, library and menu favoriting, as well as gym and library mapping.

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Optibot

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Optibot is a Slackbot that allows users to input simple tasks that they want to accomplish for the day (gym, beach, coffee) and creates an optimized route based on user's preferences of distance, cost, and quality. It helps to solve the simple problem of not knowhing where to go when you need to get something done. We feel like this tool can help you optimize your day in a matter of seconds. Read more about it here and watch us present Optibot at the TechCrunch hackathon!

Enhancements were made to Optibot at the Money 2020 hackathon in Las Vegas. Here we integrated virtual cards via Visa where users could load a virtual card to use while on vacation, as it is annoying to constantly get suspsicious activity warnings in new places. Read more about it here!

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Running Back Rating

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Running Back Rating (RBR) is the world's first holistic metric to accurately evaluate running backs in the NFL. Using a player location dataset provided by the NFL, we evaluated running backs in 5 different categories: inside running, outside running, downfield acceleration, pass catching, and short yardage running. Learn more here!

We were awarded 2nd place at the NFL hackathon in 2016.

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Free Agency Rating

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Free Agency Rating (FAR) is the world's first metric that quantitatively evaluates the performance of NFL teams in free agency. The research then uses those findings to assess how winning culture and team location and market relate with FAR. The full paper can be found here!

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SoundWorks

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In high school, I set out to design and develop a digital audiometer that would help to address the growing issue of hearing loss in America. The audiometer, SoundWorks, does regular frequency testing as well as hysteresis of threshold testing and tinnitus matching mode. Soundworks was developed as a Windows Desktop App. SoundWorks has won many awards at regional, state and international science and engineering fairs, most notably a 3rd Place overall at the state level and an Air Force Award at the international level (ISEF). Check out the full research paper here, published in the Internaional Journal of Engineering Research and Applications (IJERA)

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Giants Case Competition

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In this case competition, we analyzed pitch data of 50 major league pitchers and used those to assign similarity scores betweeen pitchers among different types of pitches (curveballs, sliders, fastballs, etc). We were selected as finalists for the Giants Case Competition and presented in front of the SF Giants Analytics team. The full research can be found here.

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Ace

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Ace is an online platform that summarizes many sources (study material) at a time to help users identify key concepts in material to help save time and better understand material. Using NLP advances, we can create summaries that cover high level concepts to show users what pieces they should delve deeper into. This applies for students (lecture notes, PowerPoints, readings) and working professionals (articles, slide decks, emails). This was a project as part of our Product Management course in Berkeley. In the final pitch competition, Ace won First Place and People's Choice Award. Ace's website is here. The clickable prototype for the Ace MVP can be found here and a video walkthrough of Ace MVP can be found here.

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