Gagan Narula is a Senior MLOps Engineer based in Zurich with a decade of experience building ML systems across healthcare, mental health, and bioacoustics. He combines a PhD in Neuroscience and advanced computer science training from ETH Zurich with hands-on experience deploying models and managing large time-series and multimodal data pipelines using tools like Postgres and Kafka. At Earth Species Project he applies ML to decode animal communication, following prior roles developing real-time mental health assessment tech at Earkick and predictive ICU models at University Hospital Zurich. His background spans research and production: from Bayesian sequence models and generative time-series augmentation to practical MLOps that take prototypes into reliable services. Colleagues describe him as a researcher-engineer who bridges rigorous statistical modeling with production-grade infrastructure.
10 years of coding experience
8 years of employment as a software developer
Master of Science - MS, Neuroscience, Master of Science - MS, Neuroscience at University of Tübingen
Bachelor of Engineering - BE, Biomedical/Medical Engineering, Bachelor of Engineering - BE, Biomedical/Medical Engineering at Manipal Institute of Technology
Certificate of Advanced Studies in Computer Science (Theoretical computer science track), Certificate of Advanced Studies in Computer Science (Theoretical computer science track) at ETH Zurich
Contributions:12 pushes, 1 branch in 3 years 11 months
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