Sabar Dasgupta is an ML Ops Engineer with 11 years of experience building and open-sourcing infrastructure to make complex systems accessible and reproducible. Currently focused on automating local and hybrid cloud provisioning to validate real-time systems and run self-hosted applications, he blends research-grade rigor from his Stanford brain-interfacing work with production engineering. His background spans senior architecture roles in startups and research labs, giving him a rare mix of neural-prosthetics domain knowledge and practical systems design. Based in New York, he leans into self-hosting and automation as a way to lower barriers for teams deploying real-time ML services.
11 years of coding experience
9 years of employment as a software developer
Computer Science Chemistry, Computer Science Chemistry at Princeton University
Princeton High School
Bachelor of Science - BS Electrical Engineering, Bachelor of Science - BS Electrical Engineering at Stanford University
Data loading, parsing, and saving library for the MC10 BioStamp nPoint Sensors
Contributions:8 PRs, 30 pushes, 16 branches in 2 years 2 months
data-loadingsensorsparsing
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Sabar Dasgupta - ML Ops Engineer at Kohler Ventures