Neraj Bobra
Senior Machine Learning Scientist at iRhythm Technologies, Inc.
San Francisco, California, United States
Summary
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Senior🎓
Top SchoolNeraj Bobra is a Senior Machine Learning Scientist in San Francisco with 11 years of experience building signal-processing and ML algorithms for physiological sensors and medical devices. He has driven production-ready solutions across startups and regulated products—ranging from real-time PCG and ECG pipelines in FDA 510(k)-cleared devices to neural-net on/off-body detection and HRV analytics for wearables. At Eko he shipped mobile-ready models (including a MobileNet TFLite PCG quality classifier and a fine-tuned Vision Transformer for murmur detection) and built embedded heart-rate and audio-processing pipelines used in clinical workflows. His background spans firmware-to-cloud implementation, demonstrating an ability to translate noisy biosignals into robust algorithms deployed in firmware, mobile apps, and Spark-based backends. Trained at Columbia (MS) with early work in nanopore biophysics, he combines rigorous signal processing with practical deployment experience and a knack for squeezing reliable features out of messy physiological data.
11 years of coding experience
11 years of employment as a software developer
Master of Science (MS) Electrical and Electronics Engineering, Master of Science (MS) Electrical and Electronics Engineering at Columbia UniversityBachelor of Science Biomedical Engineering, Bachelor of Science Biomedical Engineering at Boston University
Hindi, Spanish
Github Skills (5)
ieee10
pedometer10
accelerometer10
cluster-computing8
embedded7
Programming languages (1)
Github contributions (5)
nerajbobra/cat-vs-dog-caffe
Apr 2017 - Sep 2021
Contributions:5 commits, 4 pushes, 1 branch in 4 years 5 months
nerajbobra/lstm-qrs-detector
Apr 2020 - Apr 2020
Contributions:18 commits, 16 pushes, 1 branch in 6 days
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