Summary
Mohit Nalavadi is a Machine Learning Engineer and bioengineer-turned-programmer based in Berlin with a decade of experience building scientific Python tooling, ETL pipelines, and production ML systems across startups. He has shipped end-to-end, cloud-native and hybrid data infrastructure—spanning signal processing, monitoring, and ML-Ops—for domains from digital pathology and cancer diagnostics to industrial gas-leak detection and eCommerce. At commercetools he built high-performance image search and recommendation APIs; most recently he’s developing predictive models for digital pathology at Aignostics. Mohit blends hands-on engineering with a scientist’s rigor (early work at NASA on 3D image analysis) and a tinkerer’s curiosity, having built a robotic gigapixel microscope, audio-to-piano visualizers, and a physiology-driven musical wearable. He excels at bridging data science and DevOps to take prototypes into robust, observable production systems.
10 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree, Biomolecular Engineering, Bachelor’s Degree, Biomolecular Engineering at Santa Clara University
German