I am a 3rd year Computer Science and Statistics double major at UC Davis. I have a passion for both engineering and music, so over the years, a lot of my work has been done to learn skills that can help me solve music related problems.
Additionally, I spend most of my time at Davis creating resources and hosting workshops to teach my team of 25 developers full stack web development skills. Once they're ready, they will help me build out an E-store framework as well as an in-house Content Management System for future clients of our club, #include at Davis.
- Full Stack Web Development
- React.js/Next.js
- Express.js
- MongoDB
- PostgreSQL
- GraphQL
- Machine Learning/Data Science
- Tensorflow & Keras
- Neural Nets
- Decision Trees/Random Forests
- Clustering
- Regression & Time Series Analysis
- Music Information Retrieval
- Librosa (Python Library)
- Understanding of MFCCs, Chromagrams, Spectrograms, Mel-scale
Just a quick rundown of my projects.
My first Machine Learning project which taught me a little about DSP and MIR on the side. Try it out here at moodify.austinshih.com
This was my first Full Stack Website built with Next.js and MongoDB. I also implemented user authentication and live updating for poll results using web sockets. Try it out here at TortlePoll
My responsibility for this site was to lead a group of beginner web developers in sucessfully delivering this website for the summer tutoring program. Given roughly 15 weeks, me and my co-tech-lead taught these students from the ground up, starting with HTML/CSS/JS and ending with Next.js. Rather than writing the code ourselves, we guided them along the way and reviewed their code as mentors.
Interactive Elementary Learning Center
I worked on the backend for this site, using Strapi CMS to allow our client to edit her site with ease. Towards the end, I became a tech lead and took responsibility in ensuring that the site was deployed on time in a reliable manner.