Recallify

Centralized bookmarking application that users can easily bookmark anything from many surfaces: chrome extension, web application, and mobile. The key differentiator of this project is the ability to search through your bookmarks with a natural language search. This project was built with a focus on UX/UI and performance. Users do not need to categorize book marks all they need is to save book mark with whatever semantic context they want to remember it by, and it will be embeded into a hyper dimensional space for easy discovery. There is also a automated context builder using LLM's to summarize the bookmark.

Started a company with others from Google, and Amazon to break into the GenAI space in adminstrative law. We were talking to Michigan, Illinois, and Texas to pilot the program. We also made it to the final round of YCombinator and were interviewed by Garry Tan for funding. They were very excited about the project and the potenial it had to disrupt the legal industry, but when asked if we'd all quite our jobs to work on this full time some founders were hesitant, and it was decided that we would not move forward with Ycombinator. The start up ultimately fell apart after Biden adminstration put a hold on all AI projects in the judicial space.

Worked on a contract for PianoVision LLC. Created an interface for teachers to label music notes fingerings, create sections, and simplify music so users can learn Piano easier in VR. I deserialized a midi adjacent data format and dynamically created a music sheet that the teacher can interact with.

Founded my own company, a private notification service integrated with Discord. Many people struggle with getting interviews to complete their Global Entry application often times waiting almost a year. Paid users of this service will receive notifications whenever a new appointmnet slot in their region opens up.

Worked on a native iOS project written entirely in Swift 5. This was a personal start up company where I worked with a client that was looking to undercut a merchandising competitor. The key features that were requested was the ability to track employees on their routes, allow employees to upload pictures of merchandise, feature for employees to clock in for the work day, and a form to keep track of sales.

Inspired by a simlar project to practice typing while reading books I decided to try to replciate the logic with music lyrics. Project was built using React Hooks with focus on React fundamentals and UX/UI.

Driven by interest in machine learning, self-taught game development using machine learning concepts. Recreated the popular game the Impossible Game using Unity and C#. Used 15 input nodes to identify obstacles and one output node that decided if the AI should jump or not. Every generation the top 10% of performers would generate an offspring for the next iteration until completion