# Eli Z.

> SWE @ Waymo

Location: Palo Alto, California, United States
Profile: https://flows.cv/eliz

## Work Experience
### Software Engineer @ Waymo
Jan 2022 – Present
Simulation

### Perception Intern @ Acubed
Jan 2021 – Jan 2021 | United States
- Refactored and optimized team’s auto-labeling pipeline; Significant reduction in code for auto-labeling/label-smoothing algorithms used across flight recordings
- Modified auto-labeling stack to fuse existing label sources into single “best label”; Resulted in average performance error of ~0.03 IoU against human-sourced labels (best to date)
- Created tooling to quantify label performance (IoU, center-aligned IoU, etc), performance
ceilings, and correlations with in-flight telemetry across all datasets

### Software Engineering Intern - Cloud+AI @ Microsoft
Jan 2020 – Jan 2020
- Developed enhanced network traffic analytics dashboard for customers of Azure Cloud (C#, TypeScript, SQL, Kusto, AzureMaps)

### Researcher - Intelligent Robot Lab @ Brown University
Jan 2019 – Jan 2020
- Investigating the effects of macro-actions on non-serializable black box planning problems
- Created a Rubik’s Cube PDDL Domain, then directly translated it into an OpenAI Gym
Environment via PDDLGym (Python)
- Planning operation performance analysis among planners (e.g. FastForward, FastDownward)
- Contributor for PDDLGym Library

### Software Engineering Intern @ Google
Jan 2019 – Jan 2019 | New York City
- Led component design for triggering Kubernetes pipeline resources from arbitrary event payloads
- Presented Tekton Triggers, a cloud-native eventing project, at DevOps World CDF Summit
- Investigated and implemented community-requested features for ​Tekton Pipelines​, consistently the #1 or #2 contributor on GitHub during internship period

### Summer Intern @ Intuit
Jan 2018 – Jan 2018
- Contributor for K8s Dashboard, a Google open source project, using Go and Angular
- Developed a 3D face recognition demo for KubeCon 2018 based on TensorFlow and Kubeflow
- Designed and implemented public machine learning examples with Argo container workflows

### Summer Intern @ NASA Ames Research Center
Jan 2017 – Jan 2017
Developed prototype sensor payloads for future mars rovers. Conducted tests in simulated martian terrain; published findings (See below).

### First Robotics - Team 8 @ Palo Alto High School Robotics Team
Jan 2014 – Jan 2017
- Electronics Lead and Drive Team Coach (2016-2018), Team Project Manager (2017-2018),          Build Project Manager (2015-2017), TIG Welder (2014-2018)
- Responsible for sensors, controls, and power for the team’s robot. Engineered PoE power system.      Solved reliability problems. Lead strategy and decision making during robot competitions.
- Division semifinals at World Championships

### Webmaster @ The Paly Voice
Jan 2015 – Jan 2017
- Implemented design changes, developed website functionality, and found creative ways to present news
- National Scholastic Press Association's Online Pacemaker Award, scholastic journalism's preeminent award for online publications

### Summer Camp Counselor @ CMT Musical Theater Camp
Jan 2015 – Jan 2016 | Palo Alto, CA
Summer 2015 and 2016

### Webmaster @ Boy Scout Troop 57
Jan 2014 – Jan 2016


## Education
### Bachelor of Science - BS in Applied Math-Computer Science
Brown University

### Palo Alto High School


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

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Source: https://flows.cv/eliz
JSON Resume: https://flows.cv/eliz/resume.json
Last updated: 2026-04-01