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Work History

I’m currently a junior at UC Berkeley pursuing a double major in computer science and economics. I'm particularly interested in building products that empower data-backed decision making. A few of my previous experiences are listed below:

  • NeoVector (Present): Currently working on automating the process of placing trades and building a front-facing UI for trade information for algorithmic trading startup NeoVector.
  • Humana (Summer 2021): Employed popular big data tools like Apache Spark to refactor data pipelines that handle health record data for millions of Humana members.
  • UC Berkeley & BART (Winter 2021): Utilized traincar and weather data to create Splunk dashboards designed to alert maintenance teams of potential service outages.
  • Vermilion Energy (Summer 2020): Developed a BI analytics tool for oil reserves reports, replacing the old system of pdf reports.

My Approach to Life

Beyond my resume, I am a 70s rock music connoisseur, breakfast cereal savant, and undeniable golf addict. Aside from my aforementioned passions, three driving factors steer my life:

  • I love being curious. Coming from a place of openness and genuine interest builds my inquisitiveness. I am particularly passionate about the intersection of economics and computing, and hope to find a place where I can exercise my curiosity on the forefront of technological innovation.
  • I love learning from interesting people. I find that unbridled passion, a distinct perspective, or even a good story are among the hallmarks of fascinating people. In my experience, these people can have a profound impact on the way I think about goals and encounter hurdles. In all I do, I strive to be a little bit more like the interesting people I have met.
  • I love solving challenging problems. Like weightlifting, you grow stronger under resistance and pressure, not safety and comfort. I believe that the more persevering, perceptive, and capable you are, the more you enjoy a perplexing problem; challenges are energizing. Taking the plunge out of my comfort zone has improved my data science and computing skills, and had made me a better learner and team contributor.

I consider myself lucky to have had the chance to learn from world-class researchers and be exposed to so many brilliant individuals so early in my learning journey. I’m always interested in opportunities to pay it forward or exercise my passion for economics and computing.