Eric Grinstein
AI Engineer at RØDE
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolEric Grinstein is an AI engineer with 11 years' experience specializing in speech and audio signal processing, currently building audio models at RØDE after stints at Bose and Meta. He bridges deep research and product engineering—his work has produced patents, conference publications, and an early neural audio style-transfer invention later cited extensively. Trained with a PhD from Imperial College London and engineering degrees from IMT Atlantique and PUC‑Rio, he has repeatedly delivered low‑complexity, real‑time multimodal algorithms for embedded audio devices. Comfortable in both industry and academic labs across Europe and the US, he combines hands‑on model-building with systems thinking to take audio ML from prototype to product. An understated strength is translating patented research into practical, latency‑aware solutions for constrained hardware.
11 years of coding experience
4 years of employment as a software developer
Diplôme d'Ingénieur | Master of Engineering Ingénieur Généraliste, Diplôme d'Ingénieur | Master of Engineering Ingénieur Généraliste at IMT AtlantiqueDoctor of Philosophy - PhD Speech and Audio Signal Processing and Machine Learning, Doctor of Philosophy - PhD Speech and Audio Signal Processing and Machine Learning at Imperial College LondonPontifical Catholic University of Rio de Janeiro
English, Spanish, French, Portuguese
Stackoverflow
299reputation
214kreached
6answers
1question
Github Skills (80)
python10
annotations10
deep-learning10
gpu10
gpu-acceleration10
labeling10
bounding-box10
imagenet10
acceleration10
training-data10
numpy10
neural-network10
object-detection10
computer-vision10
tensor10
Programming languages (4)
Github contributions (5)
SOUNDS-RESEARCH/complex_neural_source_localization
Jun 2021 - Jan 2023
Contributions:162 commits, 1 push, 1 branch in 1 year 7 months
egrinstein/egrinstein.github.io
Mar 2015 - Jul 2017
Contributions:100 pushes in 2 years 4 months
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