Mar 2024 – Present · 2 yrs · San Francisco Bay Area

• Amazon SageMaker Unified studio is an integrated data and AI development environment that enables collaboration and helps teams build data products faster. SageMaker Unified Studio brings together familiar tools from AWS analytics and AI/ML services for data processing, SQL analytics, machine learning model development, and generative AI application development.

May 2023 – Feb 2024 · 9 mos · San Francisco Bay Area

• Amazon SageMaker Studio is an integrated development environment (IDE) that provides a single web-based visual interface where you can access purpose-built tools to perform all machine learning (ML) development steps, from preparing data to building, training, and deploying your ML models, improving data science team productivity by up to 10x. You can quickly upload data, create new notebooks, train and tune models, move back and forth between steps to adjust experiments, collaborate seamlessly within your organization, and deploy models to production without leaving SageMaker Studio.

Jul 2021 – Apr 2023 · 1 yr 9 mos · San Francisco Bay Area

• Amazon Personalize is a fully managed service that enables developers to build applications with the same machine learning (ML) technology used by Amazon.com for real-time personalized recommendations – no ML expertise required. Amazon Personalize provisions the necessary infrastructure and manages the entire ML pipeline, including processing the data, identifying features, using the best algorithms, and training, optimizing, and hosting the models.

Jun 2020 – Aug 2020 · 2 mos · Palo Alto, California, United States

• Amazon Personalize is a machine learning service that makes it easy for developers to create individualized recommendations through simple APIs for customers using their applications.