Mayoor Rao is a Mechanical Engineer turned machine learning specialist with 11 years of engineering experience and a Master's in Computer Science from Georgia Tech focused on machine learning. He combines deep expertise in NLP and deep learning (CNNs, LSTMs, attention) with production-grade big data and platform engineering—having built event-driven, multi–data-center systems with strict SLAs and zero downtime. Comfortable across Python ML stacks (TensorFlow, Keras, spaCy) and Java-based enterprise applications, he also brings strong reinforcement learning and classical AI algorithm experience (DDQN, A*, particle filters, Viterbi). Based in Redwood City and consulting at Oracle OCI Data Science, he bridges research-quality models and scalable platform delivery, often integrating Spark/Hadoop ecosystems and polyglot databases to operationalize ML at scale. An unusual strength is his breadth: from low-level AI search algorithms to large-scale distributed platform design, enabling end-to-end solutions from model prototyping to highly available production systems.
This repo contains a series of tutorials and code examples highlighting different features of the OCI Data Science and AI services, along with a release vehicle for experimental programs.
Contributions:42 pushes, 1 branch in 2 years 9 months
Contributions:13 pushes, 2 branches in 2 years 3 months
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