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“There are two kinds of people in the world: those who can extrapolate from incomplete data,"

Hey there! I'm a Software Engineer at Quantcast who graduated from the University of California, Berkeley. I double majored in Computer Science and Statistics and was a Head TA for Computer Architecture. My interests lie in Web Development, Full Stack (Backend is super fun!), Databases, Data Science, and Machine Learning. I have previously spent two summers as a Software Engineering Intern at Riviera Partners and MobiTV. I grew up in Port Arthur, Texas and enjoy breakdancing, video games, origami, and sports. I enjoy meeting new people, visiting new places, and bringing ideas to life through code. Below is my journey at Cal and why I chose Software Engineering!

  • Fall 2012 - Spring 2013

    Mechanical Engineering

    I entered Cal studying Mechanical Eng. and took intro level math, engineering, physics, chemistry, and programming courses. I found that I was more fascinated with the math and programming and switched to Applied Math!

  • Fall 2013 - Spring 2014

    Applied Mathematics

    After falling in love with Multivariable Calculus and Linear Algebra, I moved on to advanced courses. Though proofs and theorems were interesting, I found myself wanting something more "applied." Enter Statistics, prominent for solving many real world problems!

  • Fall 2014 - Fall 2015


    I found my niche in Stats, and it found a special place in my heart. I was intrigued with all you could do with data, and dived into statistical learning. As of Fall 2015, I have completed the Stats degree with a concentration in Applied Math. My lingering interest in coding and love for data drove me towards Computer Science!

  • Spring 2016 - Summer 2017

    Computer Science

    I got addicted to coding and couldn't get enough of my CS courses. Through all the projects, I grew an interest in web development, backend, databases, and building predictive models. I was mesmerized by the vast directions Computer Science could take you. In Summer 2017, I graduated with my Computer Science degree. I aspire to apply my knowledge and skills to create software that's fun to build and streams positivity into our lives!


Here are some of my latest projects.


A web app that identifies songs in a movie or TV show and displays their Youtube videos


A Chrome plugin that uses Natural Language Processing to recommend political articles outside your bubble

Text Classification

A classifier that labels Project Gutenberg text excerpts as Children, History, Science, or Religion


A project I created from scratch as Head TA of CS 61C on Cache implementation, optimization, and coherency

Counting Crowds

A confidence interval constructed with stratified sampling techniques to estimate the size of a protest

US Election Results

A classifier that predicts whether each county in the United States will vote Democrat or Republican

Contact Me

Want to collaborate? Maybe say hello? Drop me a line!