Marshall Peng is an AI Engineer with nine years of experience building production ML systems, currently applying applied-AI techniques at Balyasny Asset Management after a multi-year tenure at Amazon Prime Air. He designed and shipped machine learning solutions to predict weather for autonomous delivery drones, blending probabilistic modeling, systems engineering, and operational robustness. A Dartmouth CS and Economics graduate with a statistics minor, he taught deep learning and applied ML courses, signaling both strong technical depth and an ability to communicate complex ideas. His background includes AI/ML internships at Apple (Siri) and impactful intern work at Synopsys where he improved anomaly detection accuracy by 30% while slashing runtime by 85%. Based in New York, he combines research-minded rigor with production-first instincts, especially at the intersection of real-time decisioning and safety-critical systems.
9 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree Candidate in Computer Science and Economics Minor in Mathematics, Bachelor’s Degree Candidate in Computer Science and Economics Minor in Mathematics at Dartmouth College
Code for the backend portion of the Course Watch Utility. Designed to help Dartmouth Students register/get into high demand classes during add-drop period
Contributions:12 PRs, 13 pushes, 4 branches in 2 years 9 months
Code for the frontend portion of the Course Watch Utility. Designed to help Dartmouth Students register/get into high demand classes during add-drop period
Contributions:7 PRs, 14 pushes, 3 branches in 2 years 9 months
reactjavascriptdartmouthdemandfrontend
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Marshall Peng - AI Engineer at Balyasny Asset Management L.P.