Currently working in data annotation by providing human reinforcement for deep learning on Large Language Models such as ChatGPT(3&4), Bard, and Claude. I specifically work on projects that train chatbots to assist developers with coding queries in Java, Kotlin, CPP, and Python.As a mobile Android Developer, I am working on implementing Google's MLkit Pose Detector on handheld Android Devices. The initial goal of this project was to provide an application that can provide the user with real-time form analysis for in-place exercises such as squatting, various lifting movements, and running on a treadmill.In the application's current iteration, it can run Google's Human Pose Detector on user-saved, 1080p, 60 FPS, video with little lag. This is done by using ExoPlayer for video playback, a non-linear stochastic Kalman Filter to smooth the output signal from the image processing, threading, and efficient memory management. The next step is to migrate all drawing from Canvas to OpenGL ES 2.0. Videos are coming soon (earlier if requested). If you would like to talk about the project DM me.