Software Engineer

Hi, I'm Scott.

Software Engineer @ Lyft

M.S. EECS @ UC Berkeley


San Francisco, CA

scott.lee@berkeley.edu

Resume

in/scottjlee98

About Me

I'm Scott, a Bay Area native, tea connoisseur, and turtle enthusiast. Currently, I'm a software engineer at Lyft, returning after completing my M.S. at UC Berkeley. In the past, I've also had the pleasure of working at other amazing companies like Rubrik and Brilliant.

I'm passionate about designing thoughtful solutions to complex problems. My academic and industry interests include artificial intelligence (machine learning, computer vision), large-scale logistics, and intersecting technology and education. I fill my free hours by climbing rocks, baking bread, drinking matcha, and obsessing over music.

Education & Skills

Education
University of California, Berkeley 🐻

M.S. EECS (2020)
B.A. Computer Science (2019)

Monta Vista High School
High School Diploma (2016)
Teaching

Head TA for Data 8, Data 100, PH 196, PH 142

Skills

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

Coursework

Computer Vision
AI in Natural Language Processing
AI in Robotics
AI in Healthcare & Medicine
Machine Learning
Algorithms & Complexity
Probability & Random Processes
Convex Optimization
Theoretical Statistics
Linear Modeling
Financial Engineering

Experience

Lyft

Software Engineer (2020 - Present)

Automated User Acquisition




RISELab

Graduate Researcher (2018 - 2020)

Computer Vision (Explainability, Few-Shot)
Medical Imaging (EKG)

Lyft

Software Engineering Intern (2019)

Dual project between infrastructure (generalized pricing API) and modeling (new pricing model). Conducted extensive data analysis and feature engineering, created robust endpoints to fetch features, and ran pricing experiments.

Rubrik

Software Engineering Intern (2018)

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

Projects

Fido

A Slackbot packed with features to assist teaching staff members, including roster lookup, Piazza paging, and groupshouts.

BerkeleyTime

An augmented course catalog used by over 30,000 UC Berkeley students that provides data on courses, enrollment trends, grade distributions, and more.

Neural-Backed Decision Trees

Improving explainability for deep learning image classification using a decision tree-based structure.


Object-Focused Edge Detection

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

Contact Me

I'm currently located in San Francisco, CA. If you want to grab a cup of tea or reach me otherwise, email is the preferred method, thanks!