Orchid Majumder
Seattle, Washington, United States
Summary
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RockstarOrchid Majumder is a Principal Research Engineer with 11 years at Amazon, currently focused on advancing meta-, multi-task and few-shot learning for computer vision within AWS Rekognition and Amazon AGI. She helped launch core ML services like SageMaker and built production NLP and AutoML features—work that spans built-in algorithms, inference pipelines, and distributed model tooling. Orchid blends deep research instincts with product-first engineering, having moved ideas from research prototypes into scalable services used by AWS customers. Her background also includes machine translation, hyperparameter optimization, and early work on fuzzy neural networks for vision, revealing a long-standing interest in bridging classical and modern ML approaches.
11 years of coding experience
5 years of employment as a software developer
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (86)
python10
mxnet10
sagemaker10
amazon-sagemaker10
mlops10
deep-learning10
huggingface10
gpu10
gpu-acceleration10
acceleration10
numpy10
neural-network10
visual-question-answering10
tensor10
deploying10
Programming languages (5)
Github contributions (5)
aws-samples/d-SNE
Aug 2019 - Oct 2019
Implementation of our proposed algorithm in domain adaptation for image classification
Contributions:6 commits, 2 PRs, 5 pushes in 1 month
pytorchadversarial-learningdeep-learningsemi-supervised-learningmachine-learning
orchidmajumder/algorithm-codebucket
Jan 2015 - Sep 2015
Contributions:15 pushes in 8 months
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