Brian Midei
Software Engineering Team Lead at Bloomberg
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolBrian Midei is a software engineering team lead at Bloomberg with eight years of experience applying data-driven techniques to financial risk systems and large-scale engineering problems. He blends hands-on ML/NLP expertise from an IBM Extreme Blue internship and a Columbia MS in data-driven electrical engineering with production software delivery in Multi Asset Risk. Earlier work in control systems and calibration at General Motors gives him a strong foundation in embedded algorithms, simulation-driven testing, and rigorous release processes. Known for building interpretable ML UIs and leading small cross-functional teams, he often bridges research, engineering, and stakeholder communication to move prototypes into production. Based in New York, he brings a practical mix of academic depth and operational discipline that helps complex quantitative systems scale reliably.
8 years of coding experience
3 years of employment as a software developer
Virginia TechMS Electrical Engineering, Data Driven Analysis and Computation, MS Electrical Engineering, Data Driven Analysis and Computation at Columbia University in the City of New York
Github Skills (22)
recurrent10
segmentation9
d3js8
isomorphic7
svg7
wrapper7
react6
deep-learning6
charts6
neural-network5
nodejs5
silent5
api5
canvas5
visualization5
Programming languages (4)
Github contributions (5)
bmmidei/SliceCast
Mar 2019 - May 2019
A recurrent neural network for topic segmentation of podcasts
Contributions:106 commits, 1 PR, 14 pushes in 1 month
segmentationdeep-learningrecurrent-neural-networkneural-networkpodcasts
ac4391/EssayGrader
Nov 2018 - Jan 2019
Contributions:69 commits, 6 PRs, 56 pushes in 1 month
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