Nathan Einstein
Lead Artificial Intelligence Engineer at MITRE
Greater Boston United States
Summary
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Top SchoolNathan Einstein is an experienced AI and geospatial engineer with eight years of applied research and production work bridging machine learning, computer vision, and large-scale data pipelines. At MITRE he has progressed from research software engineer to Lead AI Engineer, building Dockerized microservices, anomaly detection platforms, and augmented LLM workflows for real-time schema mapping on messy, heterogeneous datasets. His background blends rigorous academic training (MS in Data Science from Harvard, BA magna cum laude from Brown) with hands-on spatial tooling—PostGIS, PyTorch, Elasticsearch, and AWS—and a track record of turning satellite and commercial imagery into operational spatial recommender systems. Nathan’s work shows a pragmatic experimental bent: probing model interpretability, experimenting with loss functions for noisy spectral data, and implementing flexible proximity-layer tooling that supports non-Euclidean distance definitions. He also brings interdisciplinary quantitative experience from transportation and environmental policy work, giving him uncommon fluency in policy-relevant analytics and production ML. Colleagues describe him as a technical lead who moves ideas from prototype to production while keeping an eye on robustness and real-world data heterogeneity.
7 years of coding experience
10 years of employment as a software developer
Bachelor of Arts (B.A.) Magna Cum Laude Economics Political Science, Bachelor of Arts (B.A.) Magna Cum Laude Economics Political Science at Brown UniversityMaster of Science - MS Data Science (Statistics + Computer Science), Master of Science - MS Data Science (Statistics + Computer Science) at Harvard UniversityPost-Baccalaureate Computer Science Minor Computer Science, Post-Baccalaureate Computer Science Minor Computer Science at Tufts UniversityNon-degree seeking student mathematics and computer science, Non-degree seeking student mathematics and computer science at University of Maryland
Spanish
Github Skills (3)
python10
kubernetes9
machine-learning3
Programming languages (2)
Github contributions (5)
nathaneinstein/6.850-closest-pair-demo
Mar 2020 - Mar 2020
Contributions:12 pushes, 1 branch in 13 days
njeinstein/testgpages
Nov 2018 - Nov 2018
Contributions:7 pushes, 1 branch in 1 day
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