Quinn Z Shen Email & Phone Number

Tokyo, JP

Tokyo, Japan

A perception lead focused on construction zone navigation. I define and execute technical roadmaps for our capabilities necessary for our product roadmap. I work closely with our ground truth team and the broader autonomy team to ensure the deployment of desired end-to-end autonomy behavior. Since June 2022, on the long-range perception team focused on.

San Francisco Bay Area

A perception lead for the Autonomy Capabilities team. We've focused on challenges for the self-driving vehicle navigating around blockages (construction zones, double-parked vehicles, low-to-the-ground objects, etc.)

San Francisco Bay Area

Rapidly developing, testing, and integrating larger cross-functional capabilities (e.g. autonomously navigating through construction) with members across all of autonomy: perception, planning, prediction.My main focus is around perception.

San Francisco Bay Area

Built labeling infrastructure and off-board perception models for self-driving vehicles.

San Francisco Bay Area

Built and architected the backend systems and machine-learned pipeline for content at LinkedIn. We leveraged unique data to surface timely, must-read, and professional content.- Architected and built the relevance engine powering the LinkedIn Feed- Created the model experimentation and ramping structure used to evaluate new models- Scaled the relevance.

UC Berkeley

- Established a program to allow the Foundry's startup companies to scope out engineering and design challenges for UC Berkeley students to solve.- Held weekly lab-hours for hardware, software, and design challenges.- Trained and on-boarded new resident engineers.

Sunnyvale, CA

Prototyping wearable technologies using Bluetooth Low Energy (BLE) and sensor data. Experimenting with geospatial positioning using radio waves such as high-pitched frequencies, wifi, and bluetooth.

Mountain View, CA

Front & Backend programming for the Growth Team which is responsible for every aspect in growing LinkedIn's member base. Lead engineer in creating the web-optimized registration flow for LinkedIn’s native app on the Nokia Asha series – a mid-tier line of devices that targeted 60-80 million devices in 2013.

United States

Redesigning and restructuring UC Berkeley's network, web infrastructure, and user interface.

United States

Research in the field of soft computing - statistics, fuzzy logic, and artificial intelligence.

Master'S Degree, Computer Science (Computational Perception And Robotics)

Bachelor Of Science (Bs), Electrical Engineering & Computer Science

Activities and Societies: Cal Raijin Taiko, Innovative Design, Hackers@Berkeley Focus on Algorithms + Robotics