# Joe Z.

> SWE @ Google

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/joez1

I am currently an undergraduate student at UC Berkeley studying Computer Science. I have experience developing various projects and enjoy solving challenging problems. I'm interested in algorithms and machine learning.

Project Highlights:
- Paper on local vs global loss landscape metrics accepted into NeurIPS 2021: https://arxiv.org/abs/2107.11228
- Side project with a friend on using deep learning to create a music visualization pipeline by learning to extract rhythmic elements from a song: https://tinyurl.com/deepmusicvisualizerpaper

## Work Experience
### Software Engineer @ Google
Jan 2022 – Present | Bay Area
On-Device Machine Learning

### Undergraduate Researcher @ RISELab @ UC Berkeley
Jan 2020 – Jan 2022 | Berkeley, California, United States
- Co-author of paper accepted into NeurIPS 2021: https://arxiv.org/abs/2107.11228, https://nips.cc/Conferences/2021/ScheduleMultitrack?event=28104
- Research under mentorship of Yaoqing Yang on using local and global loss landscape metrics to analyze CV and NLP models

### Director @ Cal Hacks
Jan 2020 – Jan 2022
- Working on the sponsorship team to contact potential sponsors and negotiate sponsorship packages
- Helped plan and run a virtual hackathon event: https://hacknow.calhacks.io/

### Committee Lead and Project Lead @ AFX Tech
Jan 2019 – Jan 2022 | UC Berkeley
- Leading a team of 8 developers to build new features for a Ruby on Rails app used by 1000+ dancers at Berkeley
- Implemented dynamically changeable text in the registration form to make it more accessible for non-technical board members
- Created RESTful API endpoints for other AFX Tech applications to access the dancer database

### Software Engineer Intern @ Optiver
Jan 2021 – Jan 2021 | Chicago, Illinois, United States
Working on Automated Trading System

### Software Engineer Intern @ Splunk
Jan 2020 – Jan 2020
- Researched and proposed a project plan to implement a security framework in SignalFX
- Designed a security framework which relies solely on metric data instead of the current log-based method used by Splunk
- Developed an MVP to demonstrate proof of concept in extracting security insights from metrics in SignalFX

### Co-Founder @ SyncUp, Berkeley SkyDeck
Jan 2019 – Jan 2019 | Berkeley, CA
- Launched SyncUp as a startup through the Berkeley SkyDeck incubator
- Partnered with Google engineers in a case study of our usage of Google Cloud Platform
*see project section for details on SyncUp*

### Software Engineer Intern @ Project YX
Jan 2019 – Jan 2019 | Santa Cruz, California
- Sole developer of a Ruby on Rails + PostgresSQL data review webapp for generating ML training sets
- Designed RESTful API calls to integrate review tool as a microservice
- Implemented a deployment pipeline from Bitbucket to Heroku to test and deploy the webapp
- Collaborated with engineering team in an Agile development cycle

### Student Researcher @ Whitney Lab, UC Berkeley Department of Psychology
Jan 2016 – Jan 2018 | Berkeley, California
- Programmed experiments and performed data analysis/visualization in Matlab
- Designed and developed a game-ified version of a core experiment to increase participant attention
- Full stack developer tasked with migrating Matlab experiments and data to a webapp using HTML/JS + Firebase

### Research Intern @ Applied Electromagnetics Lab
Jan 2017 – Jan 2017 | Boston University, Boston, MA
- Designed and ran experiments to analyze the optimal operation conditions for different Electrodynamic Screens prototypes
- Performed data analysis in Matlab
- Presented findings at Boston University research fair


## Education
### Bachelor of Arts - BA in Computer Science
University of California, Berkeley

### West Valley College

### Lynbrook High School


## Contact & Social
- LinkedIn: https://linkedin.com/in/acethespy

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Source: https://flows.cv/joez1
JSON Resume: https://flows.cv/joez1/resume.json
Last updated: 2026-04-05