Regina Hain
Scientist at BBN Technologies
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolRegina Hain is a scientist and software engineer with over 12 years of experience specializing in advanced networking, real-time machine learning, SDN, and mobile ad-hoc network systems, backed by an active Top Secret clearance. Based in Cambridge, she blends hands-on development in C/C++, Python, Java, and Prolog with systems work across UNIX and MacOS to deliver research-grade prototypes and simulations. At BBN she led integration and R&D for large-scale programs including GENI, DTN, and PHAROS, building OpenStack/OpenFlow resource managers and kernel- and router-level systems. Her background spans speech/NLP, semantic web ontologies, and verification for high-performance optical and distributed platforms, showing a rare mix of theoretical AI and pragmatic systems engineering. She has worked with DARPA, ARL, Boeing and NASA, and is skilled at turning complex, distributed research requirements into reproducible, validated results.
12 years of coding experience
Bachelor of Science EECS, Bachelor of Science EECS at Princeton University
Github Skills (2)
testbed8
aggregate6
Programming languages (2)
Github contributions (5)
GENI-NSF/gram
Sep 2013 - Feb 2016
Contributions:1 release, 48 commits, 37 pushes in 2 years 5 months
rrhain/to-fork
Oct 2015 - Oct 2015
Contributions:1 push in 1 day
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