I'm a University of Michigan College of Engineering alumni, with a Bachelor's in Computer Science, magna cum laude. My interests range from algorithms to augmented reality to machine learning, and I'm looking for valuable experiences and opportunities to broaden my scope and refine my technical skills. // my resume
I have a passion for innovation, humor, design, and people. I'm an internet addict, swimmer, serial tv-drama binger, wannabe photographer, and a thinker. I'm going to make a difference.
Undergraduate researcher in the Crowds + Machines Lab under the guidance of Dr. Walter Lasecki, investigating applications of augmented reality to facilitate and improve collaboration spaces via the crowd worker.
Designed and built web application to organize and display relevant data to users for visualization and self- service management of various strategies. Leveraged the Reladomo framework to implement API endpoints and services for managing databases. Developed web UI using react native and redux to implement data grids, criteria panels, and make API calls.
Designed and automated log aggregation and visualization pipeline for troubleshooting and performance optimization in production system environments. Developed user activity interface to display live visuals of application activity with dynamic features to enhance client experience in production, leveraging REST protocol and AWS APIs.
Built user interface for forecasting toolkit to predict warranty claims based on historical data patterns and statistics, targeting specific vehicle usage subsets. Implemented MATLAB scripts to aggregate vehicle data and calculate overall statistics distributed by winter severity, focusing on locations of interest and various prediction scenarios.
C++, Java, Python
A cron-like script to continuously check Node.js package dependencies for known security vulnerabilities with an integrated Slack notification system determined by priority levels using npm nsp, Docker, and shell code.
An internal web system consisting of fraternity recruitment scoring automation and internal voting to streamline procedures. Public site and authenticated internal logistical pages for file sharing, organization, and member information.
A MST and TSP Path Finding Simulator that systematically designs an optimal path between nodes; utilizes bounding algorithms and various heuristic approaches to optimize the solution in both speed and memory. Designed to simulate zoo tours with various constraints.