Brad Steiner Email & Phone Number

California, United States

Alameda, California, US

Training and optimizing machine learning models to detect ocean vessels from Saildrone autonomous vessels worldwide

Boston, Massachusetts, US

• Lead the software development of a mobile weed spraying robot, resulting in the successful launch of the company’s flagship product
• Determined overall robot design including software capabilities and sensor selection to meet target price constraints and customer needs
• Built a team and directed all software development including perception, navigation, microcontroller integration, and iOS+Android applications
• Trained and deployed a machine learning model capable of recognizing weeds and lawn boundaries in real time on low cost hardware
• Established ROS 2 and Linux environment as foundation for robot software development, enabling quick prototyping and feature development
• Developed OTA update, factory flashing, and cloud server capabilities

Boston, Massachusetts, US

• Developed and improved the robotics software from sensor input to high-level behaviors for Gita, a personal cargo-carrying following robot
• Advanced Gita’s core tracking ability to better handle crowded environments by adding a deep learning based RGB tracker
• Created novel door opening detection for intuitive human-robot interaction
• Implemented machine learning based person re-identification algorithm
• Contributed advancements to sensor management and path following
• Empowered team to iterate quicker by creating recording, replaying, visualizing, and testing tools

Boston, Massachusetts, US

Warrendale, Pennsylvania, US

• Improved overall accuracy and capability of single image geolocation program used by United States government agencies
• Trained depth prediction, segmentation, and classification models
• Served as a technical project manager for two summer interns focused on optimization of Neya’s autonomy perception stack

Omaha, NE, US

• Developed computer vision solutions for railcar inspection
• Created algorithms to identify physical defects in images & 3D LiDAR data
• Investigated recent anomaly detection research
• Trained object detection and classification deep learning models
• Collaborated with team to implement high-speed image processing pipeline
• Developed tools to annotate data and manage retraining flow

Omaha, NE, US

• Pioneered use of LiDAR point cloud data for railcar inspection
• Designed and implemented point cloud classification algorithms
• Presented successful computer vision proof of concept to executive leadership, leading to an offer of a full time position

Omaha, NE, US

Designed and implemented computer vision algorithms in C++ utilizing OpenCV libraries.

Assisted ESU 7 Technology Department in providing computer hardware, software, and networking support to ESU 7 personnel and schools

Master'S Degree In Computer Science, Specialization In Computational Perception & Robotics

Bachelor'S Degree In Computer Engineering, Raikes School Of Computer Science And Management