Developing the next generation of subsea computer vision and perception systems.

- Worked on implementing a voice assistant into Platform Science's hardware for truck drivers to give hands-off instructions - Used Google Cloud's DialogFlow(ES) to build and train a conversational interface for users- Used external React website to present the functionality and conversational flow of the assistant

Projects:- Created a replica 2048 game using HTML/CSS and JS.- 'Game Informant': Full stack site using Express/MongoDB backend. Called external API to fetch video game data. Authentication implemented. Allows users to track and find new games they are considering buying.- 'CV Wasteland': Full stack site using Django for the backend. Overall a simple site that simulates a survivors experience in a zombie wasteland. - 'Dispricery': Full stack site with a ReactJS frontend and Express/MongoDB for the backend. Fetches data from external API. Allows users to compare store prices side by side to find cheapest prices.

- Wrote and deployed automation scripts for Jira tickets to streamline issue management among company DevOp teams.- Developed a custom Salesforce component and RESTful API to fetch and display important unit data for assisting the customer support team during calls.

- Worked on developing compatibility between Platform Science's hardware with vehicle dash cams. - Developed 'FleetSearch'. In this project, public trucking data was used to populate a SQL database and ReactiveSearch.io was implemented as the API to query the database. With trucking companies often located in rural areas, the website assisted the sales team to browse and research nearby trucking companies as they were on business trips.