Orchid Majumder

Senior Research Engineer | AWS AI Labs

Role: Senior Research Engineer at Amazon Web Services (AWS)
Location: Seattle, WA, US
LinkedIn followers: 500 followers

About Orchid Majumder

I have contributed towards launching multiple AI/ML services within AWS (SageMaker, Rekognition). My research interests broadly revolve around meta, multi-task & few-shot learning in computer vision. I have prior experience in machine translation and hyperparameter optimization as well.

Experience

Senior Research Engineer
Amazon Web Services (AWS)
Apr 2019 — Present · Seattle, WA, US
I am part of the science team that owns Amazon Rekognition Custom Labels (AutoML for computer vision). I primarily work on multi-task, meta-learning & few-shot learning algorithms for classification & detection. I also worked on meta-learning based hyper-parameter optimization methods.

Contact information

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Current company

Amazon Web Services (AWS)

IT Services and IT Consulting · 10K employees · Founded 2006 · 410 Terry Ave N, Seattle, WA, 98019, US

Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost. Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.

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