Summary
Alexander Gurney is a software engineer specializing in machine learning with 11 years of cross-disciplinary experience blending C++, Python, Go, mechanical engineering, and robotics. He has a track record of taking problems from identification through implementation and production support, notably building high-speed vision systems and multi-camera object tracking used in commercial robotics. Calm and results-driven, he favors targeted research, simple problem framing, and choosing the right tools to avoid overengineering. At SoftWear he led and scaled the computer vision team, mentored juniors, and drove a company-wide migration to ROS; he later joined Google to continue applying ML at scale. His background includes hands-on hardware-software integration and refactoring mission-critical code to meet sub-millisecond timing constraints—skills that help him bridge research ideas to robust, maintainable products. Based in Atlanta, he combines startup pragmatism with academic training (Georgia Tech, Stanford coursework) to keep efforts efficient and outcome-focused.
11 years of coding experience
9 years of employment as a software developer
B.S, Mechanical Engineering, B.S, Mechanical Engineering at Georgia Institute of Technology
N/A, Computer Science, N/A, Computer Science at Udacity
N/A, Computer Science, N/A, Computer Science at Stanford University