Ming Rutar

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This service takes the SNKRS app and website's upstream user input from Akamai and forwards those millions of requests to the hundreds of related downstream services in AWS. The user traffic varies by the schedule of SNKRS launch events. The traffic volume ranged from hundreds of requests per second to millions of requests per second.

This real-time chat app with a client-side companion lets users create rooms, which can have multiple charters. A user can join multiple rooms. The app persists room and user data and tracks users' joining and leaving.

The project link is the deployment of the app at Heroku.

Implement SLAM for a two-dimensional world! Combine what you know about robot sensor measurements and movement to create a map of an environment from only sensor and motion data gathered by a robot over time. SLAM gives us a way to track the robot's real-time location in the world and identify the locations of landmarks such as buildings, trees, rocks, and other world features. This is an active area of research in the fields of robotics and autonomous systems.

The Project URL is the link to my solution at GitHub via TinyURL.

This app functions as an assistant to naturalist hikers, focusing mainly on pre-trip preparation. It helps hikers prepare for the hike, assists them during hiking, and allows them to review their observations.

I built a word recognizer for American Sign Language (ASL) video sequences, demonstrating the power of probabilistic models. In particular, this project employs Hidden Markov models (HMM) to analyze a series of measurements taken from videos of ASL collected for research (see the RWTH-BOSTON-104 Database). The project URL is the link to my solution at GitHub.

The Halloween basket represents a pair of eyes following you. When you turn around, you see a tray with candies turning quietly inside a basket. Sweet! You want a piece of candy. Before your figures reach any candy, the music plays, the colorful lights at basket rim dance, and the pumpkin head lightens up!

The Halloween basket was made using Arduino Mega, servomotor, ultrasonic sensor, stepper motor, L293D IC, motion sensor, NeoPixel LEDs, buzzer, and LEDs.