Data Scientist / Software Engineer

Hi, I'm Scott.

M.S. EECS @ UC Berkeley

SWE @ Lyft, Rubrik; Data Science @ Brilliant

Head Teaching Assistant @ DATA 8 / DATA 100

Computer Vision Research @ RISELab


Berkeley / San Francisco, CA

scott.lee@berkeley.edu

Resume

About Me

I'm Scott, a Bay Area native, tea connoisseur, and turtle enthusiast. Currently, I'm an intern on the Adaptive Pricing team at Lyft, and I'll be returning to UC Berkeley for my Master's in the fall. In the past, I've also worked at Rubrik and Brilliant. I'm also pretty involved in teaching at Berkeley—this is my fifth semester as a TA for our data science courses. In addition, I am advised by Joseph Gonzalez at RISELab, where I study computer vision (specifically human 3D reconstruction).

I'm passionate about designing solutions to complex problems. More specifically, my academic and industry interests include artificial intelligence, machine learning, computer vision, and automation. I'm also deeply interested in the intersection of technology and education, including large-scale course logistics and infrastructure platforms. I fill my free hours by climbing rocks, baking sourdough, drinking matcha, and obsessing over music.

Education & Skills

Education
University of California, Berkeley 🐻

M.S. EECS

Concentration: AI & Computer Vision
Advisor: Joseph Gonzalez
2019 - 2020

B.A. Computer Science

3.86 / 4.00, 2016 - 2019

Teaching

Fall 2019: DATA 8 Head TA
Spring 2019: DATA 8 Head TA
Fall 2018: DATA 100 Head TA
Spring 2018: DATA 8 Head TA
Fall 2017: DATA 8 TA

Skills

Programming

Python (PyTorch, TensorFlow, Sklearn, Pandas, Spark)
SQL, R, Java, Go, C

Web Development

HTML, CSS/LESS, Javascript, jQuery, Bootstrap

Relevant Coursework

Computer Science

Machine Learning (CS 189)
Computer Vision (CS 280)
Artificial Intelligence (CS 188)
Algorithms & Intractability (CS 170)
Data Structures (CS 61B)
Database Systems (CS 186)
Computer Architecture (CS 61C)

Statistics & Mathematics

Probability & Random Processes
(EECS 126, STAT 134)
Optimization Models (EECS 127)
Theoretical Statistics (STAT 135)
Linear Modeling (STAT 151A)
Discrete Math (CS 70)
Linear Algebra (MATH 54, EE 16A)
Multivariate Calculus (MATH 53)

Experience

Lyft

SWE Intern, Summer 2019

Intern on the Adaptive Pricing Team.


Rubrik

SWE Intern, Summer 2018

Designed and implemented a robust cloud database system compatible with various cloud providers as part of Rubrik's first SaaS product, Office 365.

RISELab

Research Assistant, 2018 - Present

Currently studying computer vision techniques, advised by Joseph Gonzalez. Previously worked on EKG classification at UCSF School of Nursing.

Brilliant

Data Science / Education Intern, Summer 2017

Conducted data analysis using SQL and Python on millions of emails to evaluate email algorithm effectiveness. Contributed to curricula for CS Fundamentals and Artificial Neural Networks courses.

Projects

Object-Focused Edge Detection [PAPER]

Python, PyTorch

A general method for altering general algorithms for edge detection in order to produce edge mappings that focus on one or few individual objects in an image.

Light ResNet

Python, PyTorch

A lightweight PyTorch implementation of ResNet with essential configurable parameters.

Song Classifier

Python, TensorFlow

Created a deep learning classifier that categorizes songs as either country or hip-hop. Achieved an accuracy rate of 89% and was selected as one of 10 winners of a 200-member Kaggle contest.

BerkeleyTime

HTML, CSS, JS, Django, MySQL...

BerkeleyTime is an augmented course catalog that provides data on courses, enrollment trends, grade distributions, and more. I have filled both Product Manager and Lead Engineer roles in the past.

Jesture

HTML, CSS, JS, Python, C, AppleScript...

Created gesture detection application with the Synaptics touchpad; implemented API for Spotify, Slack, Facebook, and more, then linked to a sleek web UI.

Contact Me

I'm currently located in Berkeley, CA. If you want to get in touch with me or grab some tea, email is the best way to reach me. For current students, you might get an answer faster from Piazza rather than emailing me.