Salim Malakouti is a healthcare-focused AI founder and researcher with 13 years of experience building real-time clinical monitoring and anomaly-detection systems. As CEO and co-founder of NOMA AI, he leads development of patient monitoring and alerting solutions that apply multimodal machine learning to prevent adverse medical events and reduce human error. His research at the University of Pittsburgh produced novel waveform feature representations and artifact-detection methods for ICU hypotension prediction and powered a system-wide EHR pipeline used across 17 hospitals for COVID-19 trial data collection. He combines academic rigor (PhD-level research) with practical engineering—having implemented distributed EHR pipelines, real-time ML frameworks, and multimodal deep learning models for autonomous vehicle pedestrian prediction at Uber ATG. Based in Pittsburgh, he has a track record of turning high-dimensional clinical signal data into deployable, safety-critical products and brings rare domain expertise at the intersection of ML, real-time systems, and clinical operations.
13 years of coding experience
11 years of employment as a software developer
Diploma of Math, Diploma of Math at Allameh Tabatabai High School
Amirkabir University of Technology
Doctor of Philosophy (PhD) Compute Science, Doctor of Philosophy (PhD) Compute Science at University of Pittsburgh
Contributions:1 release, 17 pushes, 1 branch in 1 year 10 months
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