Samuel L. Email & Phone Number

Chicago, Illinois, US

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Mountain View, CA, US

Mountain View, CA, US

• Google Brain/AI Tensorflow TPU and DTensor Team.
• Built next-gen Tensorflow called DTensor, tensorflow.org/guide/dtensor_overview, an open source ML framework for large language models (model parallelism). High performance computing for deep neural networks on TPU and.

The Cloud, US

• FoundationDB Persistence Services Team [Summer 2021]
• Built a feature for automatic idempotent transactions for Snowflake's internal record layer above FDB.
• Make Snowflake Engineering more robust with idempotent transactions. Impact to many engineers
• FDB is a core distributed key-value store with ACID transactionsJava, FoundationDB

Seattle, WA, US

• Amazon AI Alexa AI Distributed ML, Deep Learning Platform Team [Summer 2020]
• Delivered and launched an AutoML [Automated Machine Learning] product built from scratch delivering Alexa impact on scalable, easy-to-use, and framework agnostic Hyperparameter-Optimization for Deep Learning models at.
• Improving Alexa Scientist efficiency and model performance through cloud services and other Amazon tools.
• Published white paper to internal Amazon Machine Learning Conference.Used technologies: Python, AWS

Dublin 2, IE

• Accenture AISystems and Platforms Team [Summer 2019]
• Creating a PoC for predictive maintenance with probabilistic ML models backed with HMMs
• Predicted failure of sample manual water pumps in Africa within 30 days of true failure
• Developed a python package for general-purpose predictive maintenance using Hidden Markov Models
• Generate optimized schedule using POMDPs for technicians to repair the pumps
• Establish backend using RESTful APIs to expose ML models and set up Docker and databasesUsed Technologies: Python, AWS