Mahmood Hoseini
Data Scientist MLE
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolMahmood Hoseini is a Data Scientist and MLE based in San Francisco with 9 years of experience applying physics and neuroscience rigor to real-world ML problems. He blends deep scientific training with production-focused data engineering—cleaning and validating large datasets, building forecasting models, and translating complex results for non-technical stakeholders. At Aruba (HPE) he applies these skills in production, and his prior research at UCSF produced a novel neural-data embedding comparison showing deep CNNs resemble retinal processing more than cortical dynamics. He also built applied computer-vision tooling during an Insight fellowship, including a YOLOv5-based logo replacement pipeline and browser extension. Comfortable moving between research and engineering, he mentors others and drives projects that bridge neuroscience insight and scalable machine learning.
9 years of coding experience
5 years of employment as a software developer
Physics - Complex Systems, Physics - Complex Systems at Washington University in St. LouisNeuroscience, Neuroscience at University of California, San FranciscoPhysics, Physics at Sharif University of Technology
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (14)
machine-learning10
deep-learning10
tensorflow10
python10
data-science9
ml9
neural-network9
pytorch8
deep-neural-networks8
jax4
simple-gui1
frontend1
fiji1
image-registration1
Programming languages (3)
Github contributions (5)
Mahmood-Hoseini/NoLoGo
Sep 2020 - Oct 2020
Contributions:56 commits, 49 pushes, 1 branch in 27 days
Mahmood-Hoseini/COVID19-CT-Scan-Segmentation
Jul 2020 - Apr 2021
Identifying infections in CT scan images of COVID19 patients using CNNs
Contributions:60 commits, 56 pushes, 1 branch in 8 months
ct-scan-imagesscandeep-learningcnnspatients
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