# Samuel Tay

> Software Engineer at Arena Physica

Location: United States, United States
Profile: https://flows.cv/samueltay

## Work Experience
### Software Engineer @ Arena Physica
Jan 2024 – Present | New York, New York, United States
Building AI agents for hardware engineering

### Robotics Software Engineer @ Dexterity, Inc.
Jan 2020 – Jan 2024 | Redwood City, California, United States
Real-time multi-agent coordination and scheduling for robotic order fulfillment

### Student Researcher @ UC Berkeley  Model Predictive Control Laboratory
Jan 2017 – Jan 2020 | Berkeley, CA
- Modeled road networks and traffic flow for vehicle control and traffic simulation based on real-world data
- Conducted real-world testing and data collection of MPC-based fuel reducing adaptive cruise control
- Filtered and analyzed test data to find trends between controller conservatism and fuel consumption
- Developed and implemented Learning Model Predictive Controller for fuel reduction of autonomous vehicles repeatedly travelling along same trajectory
- Developed Hardware-in-the-Loop simulation platform used by the lab for quickly testing and tuning control algorithms using simulated data and test vehicle hardware

### ME 131 Course Assistant @ University of California, Berkeley
Jan 2020 – Jan 2020 | Berkeley, California, United States
Vehicle Dynamics and Control (Spring 2020)
Prof. Francesco Borrelli

### ME C134 / EE C128 Course Assistant @ University of California, Berkeley
Jan 2020 – Jan 2020 | Berkeley, California, United States
Feedback Control Systems (Spring 2020)
Prof. Somayeh Sojoudi

### ME C231A / EE C220B Course Assistant @ University of California, Berkeley
Jan 2019 – Jan 2019 | Berkeley, California, United States
Experiential Control Design (Fall 2019)
Prof. Francesco Borrelli
Introduction to Model Predictive Control

### AV Controls Software Engineer @ Aptiv (now Motional)
Jan 2019 – Jan 2019 | Pittsburgh, PA
Evaluated accuracy and robustness of different learned and physics-based vehicle models (kinematic, linear-dynamic, and non-linear dynamic bicycle models) and tire models for model-based controls

### AV Simulation Software Engineer @ Ford Motor Company
Jan 2018 – Jan 2018 | Palo Alto, CA
Developed modular high-fidelity simulator using Unreal Engine for generating synthetic training data and created semantic segmentation and depth map filters for ground truth data from raw videos

### Brakes and Driver Interface Lead @ UC Berkeley Formula SAE
Jan 2015 – Jan 2017 | Berkeley, CA


## Education
### Master of Science - MS in Mechanical Engineering
University of California, Berkeley

### Bachelor of Science - BS in Electrical Engineering and Computer Science
University of California, Berkeley

### Bachelor of Science - BS in Mechanical Engineering
University of California, Berkeley


## Contact & Social
- LinkedIn: https://linkedin.com/in/samueltay96

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