Mukesh Karki
About
Mukesh Karki is from Seattle, Washington, United States. Mukesh works in the following industries: "Computer Software", and "Information Technology & Services". Mukesh is currently General Manager and Director, Amazon SageMaker at Amazon Web Services (AWS), located in Seattle, Washington, United States. Mukesh also works as Director of Engineering for Amazon SageMaker at Amazon Web Services, a job Mukesh has held since Nov 2017. In Mukesh's previous role as a Engineering Management at Amazon Web Services, Mukesh worked in Greater Seattle Area until Nov 2017. Prior to joining Amazon Web Services, Mukesh was a Director at Chronus Corporation and held the position of Director. Prior to that, Mukesh was a Principal Development Manager at Microsoft Corporation from Jan 2005 to Jan 2010. Mukesh started working as Software Development Lead at Microsoft Corporation in Jan 1999. From Jan 1995 to Jan 1999, Mukesh was Software Development Engineer at Microsoft Corporation.
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Mukesh Karki's current jobs
I am running multiple Amazon SageMaker services (Training, Inference, Pipelines and Feature Store) with responsibilities for product, engineering and operations. Please reach out if you are interesting in building cutting-edge Machine Learning Platforms - we have opportunities in multiple US locations and in Vancouver, CA.
Leading the engineering for Amazon SageMaker at AWS. Managing teams of engineers, scientists and UX experts to build and operate a number of ML Services. Launched nine SageMaker services over the last 3 years. • Amazon SageMaker Pipelines - First purpose-built CI/CD service for machine learning. Launched at re:Invent 2020. https://aws.amazon.com/sagemaker/pipelines/ • Amazon SageMaker Feature Store - A fully managed repository for machine learning features. Launched at re:Invent 2020. https://aws.amazon.com/sagemaker/feature-store/ • Amazon SageMaker Studio - The first fully integrated development environment (IDE) for machine learning. https://aws.amazon.com/sagemaker/studio/ • Amazon SageMaker Autopilot - Service that automatically creates machine learning models with full visibility. https://aws.amazon.com/sagemaker/autopilot/ • Amazon SageMaker Processing - enables full-managed capabilities for ML pre-processing, post-processing and model evaluation. https://aws.amazon.com/blogs/aws/amazon-sagemaker-processing-fully-managed-data-processing-and-model-evaluation/ • Amazon SageMaker Batch Transform - Service to carry out prediction on bulk data. https://aws.amazon.com/blogs/aws/sagemaker-nysummit2018/ • Amazon Automatic Model Tuning - Service to automate the hyperparameter optimization for ML models. https://aws.amazon.com/blogs/aws/sagemaker-automatic-model-tuning/ • Amazon SageMaker Hosting - Real-time prediction as a managed service. https://docs.aws.amazon.com/sagemaker/latest/dg/deploy-model.html • Amazon SageMaker Training - Distributed model training as a managed service. https://aws.amazon.com/sagemaker/distributed-training/
Mukesh Karki's past jobs
• Built the distributed platform for AWS Relational Database Services (RDS) (2014-2017) • Launched Amazon SNS Mobile Push Service (2013) • Launched Amazon ElastiCache for Redis (2013) • Managed Amazon ElastiCache for MemCached (2012-2013)
• Built Learning management solutions as cloud/SaaS offerings • Software development with cutting-edge open source web-technologies and frameworks
• Responsible for architecture and implementation of wireless sensor solutions in Windows 7 • Built software infrastructure for Windows boot and performance on flash memory based devices • Owned the development of multiple releases of Windows Starter Edition – Microsoft’s operating system for Emerging Markets, Netbooks and the Education space
• Responsible for the development of data-center management solution in Microsoft System Center • Owned the development of Windows based based NAS Appliance and Web Appliance • Implemented reliability framework and kernel drivers for Windows Home/Small-Business Appliance
• Designed and Implemented Internet Authentication Service for Windows 2000 • Implemented RADIUS server for Windows NT 4.0 • Implemented Network Connection Management for Internet Explorer