Web & Mobile
My acquaintances, friends, and family all know me by my big smile and contagious, emphatic laughter. In fact, my manager at work never messaged to ask me where I was; he just yelled “Alvin” and waited for hysterical laughter - a form of echolocation, you could say. I even feature a keen ticklishness, so at the very least, a wriggly, giggly Alvin is entertaining to sit next to. I've chosen to leverage design as a voice, machine learning as a tool, to amplify the impact I can make. I aspire to one day make a presence at TED, design a new manifestation of augmented reality, and fuse both art and deep learning as I explore a rarely explored intersection of two fields.
I have had several freelance opportunities but have had no formal design education. However, I currently conduct research in machine learning. Specifically, I work on computer vision for autonomous driving at a startup called DeepScale. At UC Berkeley, I am actively engaged in Deep Reinforcement Learning for robotics, in the RISE lab, and object detection for time series in the Aspire lab. My work additionally bridges biology, chemistry, and physics - I most recently worked with the Ke Xu Chemistry Lab at UC Berkeley to classify clathrin molecules given stochastic optical reconstruction microscopies (STORM), a recent development in point clouds for cellular imaging.