Trevor Sherrard
Senior AI Software Engineer at BIP Capital
Atlanta, Georgia, United States
Summary
👤
Senior🎓
Top SchoolTrevor Sherrard is a Senior AI Software Engineer with over a decade of experience building production AI/ML, computer vision, and embedded systems for high-stakes domains like public safety and autonomous systems. He blends deep robotics and perception expertise with full-stack delivery—owning prototypes through field deployment and coordinating hardware, firmware, and cloud teams to meet regulatory and operational constraints. Trevor has shipped real-time multimodal pipelines, LLM-driven interfaces, and edge-optimized models for low-latency, mission-critical use cases, and he’s particularly practiced at balancing latency, accuracy, and deployment tradeoffs. A hands-on founder of a consulting practice and a former lead on UAV autonomy and LiDAR-based terrain analysis, he brings both entrepreneurial agility and systems engineering rigor. Based in Atlanta, he pairs an MS in Robotics Engineering with a practical focus on embedded autonomy that often surfaces in his robotics- and vision-oriented GitHub work.
12 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree Electrical Engineering, Bachelor’s Degree Electrical Engineering at Rochester Institute of TechnologyMaster of Science - MS Robotics Engineering, Master of Science - MS Robotics Engineering at Worcester Polytechnic InstituteCuyahoga Community CollegeHigh School diploma, High School diploma at Saint Edward High School
English
Github Skills (27)
python10
data-science10
machine-learning10
ml10
deep-learning10
tensorflow10
deep-neural-networks10
neural-network10
sensor7
coordinates7
orientation7
kinect6
robot5
pose5
robotics4
Programming languages (5)
Github contributions (5)
sherrardTr4129/Haar-negatives
Jul 2016 - Jul 2016
Contributions:2 commits, 2 pushes, 1 branch in 11 days
sherrardTr4129/RealSense-BNO055-Pose-Estimation
Feb 2021 - May 2021
This repository contains required software to construct a Pose of a vision target by fusing its x,y,z coordinates from the kinect, with its quaternion orientation from the BNO055 sensor.
Contributions:69 commits, 2 PRs, 22 pushes in 3 months
bno055visionkinectorientationquaternion
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