Hey there, my
name's Ethan!
I'm a
web de|
based in Berkeley, CA.
More about me
I am an undergraduate student at UC Berkeley studying Computer Science and Data Science with an emphasis in business and industrial analytics. I am passionate about using software applications and machine learning models that I've built to improve people's everyday lives. I also am an entrepreneur by heart and love working on internet marketing projects that reach hundreds of thousands of people.
During my free time, I love playing/watching basketball, going on hikes, late night runs, and trying out new foods.
My experience
DoorDash
- Engineered a full stack app that established DashMart as the source of truth for facility data management, which enhanced data quality & consistency, improved sox compliance, reduced on call load, and saved tool/process operation costs
- Implemented service endpoints with Protobuf & gRPC - integrated data logging/backfill, allowlist APIs, and unit/pulse tests
- Developed the BFF and updated the UI with React & GraphQL, streamlining operators' data access & modification for facilities
Software Engineer — React, Typescript, Kotlin, PostgreSQL, CockroachDB, Python
The Daily Californian
- Improved performance & enhanced scalability of UC Berkeley's news site by migrating the existing WordPress app to NextJS
- Queried content from WordPress by constructing custom PHP APIs, enabling writers to utilize a familiar CMS interface
- Implemented header bidding with the PrebidJS wrapper and Google Ad Manager increasing ad revenue by 35%
Full Stack Engineer — React, NextJS, NodeJS, PHP
Wells Fargo
- Augmented automation and scalability using IAC with Terraform and Azure - integrated with the preexisting CI/CD pipeline
- Ideated and developed an AngularJS application for interns to expand their professional network and deployed it to the cloud
- Automated tasks in Jira and cross-validated data in Python, saving time and improving data accuracy for executives
Software Engineer Intern — AngularJS, Agile Development, Microsoft Azure Cloud
CoreVest Finance
- Constructed a profile for primary clients using collected data, aiding in identifying future prospects and generating leads
- Transformed previously inaccessible data in thousands of scanned PDFs to usable data for exploration and analysis
- Developed a Random Forest Classifier to predict loan status months into the future with 97.2% accuracy
Data Science Intern — Python, RegEx, OCR, Pandas, NumPy, Scikit-Learn
Resume
For a more concise version of my experience highlighting my most relevant skills, please checkout my resume below!