Shankar Satish

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About

I’m a software engineer with a track record of leading software teams and leveraging data at scale.

I can offer deep expertise in large scale software architecture, machine learning (ML) systems, deep learning with large, noisy datasets and managing software engineering teams.

At Manulife, I built machine learning & AI systems for quantitative investing in the capital markets, using a diverse range of methods from natural language processing (NLP), search, information extraction and bayesian inference.

I spent 6 years in academia as a hybrid scientist-engineer working on autonomous robot fleets and drones. I published original research in machine learning, built engineering prototypes, and commercialised scientific research.

I once tried starting a cloud deep learning startup, and was the first data science hire at a series-A startup in the logistics / inventory management industry.