I am currently an Associate Software Engineer at NextEra Analytics working on a team that develops Serverless Angular/Ngrx web applications run from AWS lambdas running, which we implement for Python and PostgreSQL. I also enjoy working on React-Redux and Firebase applications.
I completed my M.S. in Computer Science at the University of Minnesota in 2016 and my Full-Stack Web Development Certificate with the University of Minnesota Coding Bootcamp in 2018.
A full-stack MERN application for students completing international internships to easily keep records of their internship in one location. App includes the ability to record daily activities as journal entries, photo storage, expense tracking, and linking these records to specified internship requirements.
Technologies Include:
A full-stack MERN Application where you can create Polls and vote on them. The Uni-directional data flow is handled with a Flux Architecture (implemented without Redux).
Technologies Include:
A multiplayer Rock-Paper-Scissors game built with React.js, Redux.js, and Firebase. Testing through jest/mocha. Features secure user authentication, saved game states on browser re-loading, and running score keeping.
Technologies Include:
A hangman game for the Node.js console terminal. The hangman words are taken from Tolkien's Legendarium. Note that the application does not actually show a pictograph of the classic hangman. However, the game is graphical console game and includes a hint feature for each word.
A Front-end application built with React.js, implementing a memory game with UI components, which manage component state and respond to user events.
A front-end application using jQuery/Bootstrap/Ajax to run and view searches through Giphy.com
Develop Serverless Web Applications for modeling and forecasting energy usage to allow the company to provide competitive and diverse energy solutions to its customers.
Implemented with technologies including Angular, Ngrx, Python, and PostgreSQL, running as a serverless application with over 100 AWS Lambdas.
Developed and maintained VBA Macros in Excel and Word for department use to automate tasks, read, parse, and cleanse data from multiple sources and create reports.
Gathered transaction details, customer records, third-party information and analyzed transactional data to formulate decision for outcome of investigations.
Worked independently to clear a large backlog of Anti-Money Laundering alerts.
Worked with specialists and investigative staff to complete written analysis and investigative reports for completing accurate and timely Suspicious Activity Reports.
Developed VBA scripts in Word and Excel to assist in creation of spreadsheets for common scenarios, including VLOOKUPS, creation of pivot tables, data cleansing and parsing.
Wrote 20-30 three-page Suspicious Activity Reports per month, requiring strict attention to detail and clarity, timely completion, and following specific guidelines.