Troy Crawford
Software Engineer GCI Analytics at McKinsey & Company
Atlanta, Georgia, United States
Summary
🤩
Rockstar🎓
Top SchoolTroy Crawford is a software engineer with four years of experience building data-driven systems, currently contributing to McKinsey’s GCI Analytics team. He combines a dual BS in Computer Science and Physics and an MS in Business Analytics to bridge rigorous scientific thinking with practical business impact. His background spans flight software for CubeSats, real-time ML for wildfire monitoring, and statistical market simulators—demonstrating a knack for turning complex data and models into operational tools. Comfortable in production engineering and analytics, he focuses on leveraging data to uncover efficiencies that inform better business decisions. Notably, his work on onboard structure-from-motion imaging and geospatial object detection highlights an unusual blend of embedded systems, vision, and applied ML.
4 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Business Analytics, 3.93, Master of Science - MS, Business Analytics, 3.93 at University of Georgia - Terry College of BusinessBachelor of Science - BS, Physics, 3.8, Bachelor of Science - BS, Physics, 3.8 at University of Georgia - Franklin College of Arts and Sciences
Github Skills (18)
face10
openpose10
pose10
machine-vision10
keypoint9
caffe9
human-pose-estimation9
pose-estimation9
cpp9
computer-vision9
face-detection8
machine-learning8
deep-learning7
object-detection7
opencv7
Programming languages (1)
Github contributions (2)
CMU-Perceptual-Computing-Lab/openpose
Feb 2022 - Feb 2022
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Contributions:1 review, 1 comment in 1 day
multi-personhuman-behavior-understandingreal-timedetection-libraryhuman-pose
seancook/docker-openpose-cpu
Apr 2022 - Apr 2022
Dockerfile for CPU-only OpenPose
Contributions:1 comment, 1 issue in 1 day
cpudockerfiledockeropenpose
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