Matt Kenney is a software engineer blending computer science and neuroscience to tackle cross-disciplinary problems at the intersection of computation and life sciences. He is currently a Senior Mission Software Engineer at Anduril Industries, driving the development of autonomous UAV software for air dominance and strike missions. He previously built backend and data tooling at Amazon as a Software Development Engineer I/II, including pricing platform systems and an end-to-end pricing experiment platform with large-scale data ingestion. A Dartmouth College alumnus with a BA in Computer Science and Neuroscience, he has led cross-functional teams, such as guiding a seven-engineer effort to deploy an NLP-based bug triage solution at Pegasystems. Based in Boston, MA, he actively contributes to research, volunteer work, and the Dartmouth Entrepreneurial Network, continually seeking opportunities at the intersection of computation, biology, and medicine.
An NLP Model used for automated assignment of bug reports to the relevant engineering team. Utilizes a novel confidence bounding approach - Monte Carlo Dropout, and assigns underconfident predictions to a queue for human review. Built for Pegasystems Inc.
Contributions:1 review, 13 commits, 2 PRs in 5 months
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Matthew Kenney - Software Engineer at Dartmouth College