# Sean R.

> Stanford | Applied Intuition

Location: Stanford, California, United States
Profile: https://flows.cv/seanr

Robots

## Work Experience
### ML Engineer @ Applied Intuition
Jan 2023 – Present
Training machine learning models for self driving vehicles.

### Perception Intern @ Kodiak Robotics
Jan 2022 – Jan 2022 | Mountain View, California, United States
Developed a convolutional neural network for lane detection using camera & lidar. Created training dataset by cleaning and auto-labeling data logged from Kodiak’s truck fleet. Trained the detector in Pytorch and used TensorRT, OpenCV, and C++ to run it in real time. Integrated the detector with internal visualization and simulation tools. Deployed the detector to the entire fleet.

### Autonomy Intern @ Skydio
Jan 2021 – Jan 2021 | Redwood City, California, United States
Modified the Skydio drone's object tracking abilities to use a dynamically changing camera model, allowing users to adjust the camera's zoom level in real time. Shipped feature to customer drones.

### Researcher @ Autonomous Systems Laboratory
Jan 2020 – Jan 2021 | Stanford, California, United States
Developed an autonomous drone capable of automatically finding and disinfecting door handles. Physically designed, assembled, and calibrated the drone. Built the autonomy stack using C++, ROS, SLAM, a YOLO detector, RTT* path planning, trajectory generation, and a state machine.

### Teaching Assistant @ Stanford University
Jan 2018 – Jan 2019 | Stanford, California, United States
Selected to be a teaching assistant for introductory CS classes. Taught a weekly section and helped students with their Java & C++ assignments.

### Systems Software Intern @ Blue River Technology
Jan 2018 – Jan 2018 | Sunnyvale, California, United States
Improved weed & crop localization from detection boxes in C++. Developed internal tools for validating the system’s plant localization.

### Intern @ Cepton
Jan 2017 – Jan 2017 | San Jose, California, United States
Wrote python code to track the orientation of an IMU sensor. Built a mechanical rail with moving target to aid in calibration of lidar sensors.


## Education
### Master's degree in Computer Science
Stanford University

### Bachelor's degree in Computer Science
Stanford University

### Bohemia Manor High School


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

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Source: https://flows.cv/seanr
JSON Resume: https://flows.cv/seanr/resume.json
Last updated: 2026-03-29