The Fiber Chrome Extension was our entry for the 2019 Intern Hackathon at Capital One. The project won first place against 540 interns. The extension aims to improve online shopper's financial literacy by integrating their personal budget data and credit card usage directly into Amazon's product pages and providing warnings and recommendations when getting close to their limits. It also changes prices to include sales tax. Get it on Github
As a personal side-project, Implemented a Bang! card game emulator using Monogame's framework in C#. Up to six computer players play against each other to be the last one standing. AI is used to intelligently choose the most benefial moves for each player. For example, weaker players will be targeted first. See it on Github.
Used five machine learning models and natural language processing in Python (scikit-learn, nltk) to predict the genre of a given classical book. The corpus was obtained from the public-domain texts provided by Project Gutenburg. Using a random forest ensemble, we were able to consistently achieve over 80% accuracy on classification. For details, view our research report.See it on Github
Built a basic family tree web server in Java, where a user can register and store family tree generation for later use. Designed an Android app that syncs with the server over HTTP and lets the user explore their family data with a map. The server uses a SQLite Database to store ancestral information, such as life events, parentage, and children.
Used the Verilog Hardware Design Language to design a pipelined, forwarding single-instruction processor using the MIPS Instruction Set Architecture. Worked with Xilinx's Vivado hardware design suite to download the soft processor onto a Xilinx FPGA.View it on Github
I collaborated with other students to produce and give an hour-length lecture on neural networks to an algorithms CS class.
In May and June of 2017, I went on a engineering study abroad to Guangzhou, China. We toured several major engineering facilities such as Cisco and Quanta (where Macbooks and Lenovo products are produced), and learned about their engineering and business models. While there, we worked with Chinese students and took additional courses on leadership, eastern religion, and Chinese culture.
I'm a Research Scientist and Software Engineer with a passion for learning new things. In addition to my job, I'm working towards a Ph.D. in Computer Science.
While I love all things computers, I'm particularly interested in blockchain, security, DevOps, the Fintech space, infrastructure, and open-source software.
I enjoy solving hard problems and regularly do technical consulting. If you need help in areas such as architecture, security, data, or other backend problems, feel free to reach out.