Majisha Namath Parambath — Software Engineer
Currently working in the interactive machine learning space. I was part of the launch team that delivered SageMaker Studio Notebooks (fully managed Jupyter notebooks) at AWS reInvent 2019 and the launch team that delivered SageMaker Studio Lab at AWS reInvent 2021, a no cost/no AWS configuration needed Machine Learning environment meant to make machine learning more accessible. I worked on the orchestration platform to provision compute for these fully managed Jupyter notebook IDEs, along with several features including encryption at rest for customer data, persistent storage solution for SageMaker Studio Lab. Experienced in several AWS services and building highly scalable microservices.
Stackforce AI infers this person is a SaaS-focused Principal Engineer with expertise in Machine Learning and AWS.
Location: Seattle, Washington, United States
Experience: 8 yrs 4 mos
Skills
- Machine Learning
- Aws
Career Highlights
- Led launch of SageMaker Studio Notebooks at AWS reInvent 2019.
- Contributed to SageMaker Studio Lab, enhancing ML accessibility.
- Expert in AWS services and scalable microservices development.
Work Experience
Amazon Web Services (AWS)
Principal Engineer (1 mo)
Senior Software Engineer (4 yrs 9 mos)
Amazon Web Services Marketplace
Software Development Engineer Intern (3 mos)
SAP
Developer (6 mos)
Associate Developer (2 yrs 6 mos)
Microsoft India
Intern (3 mos)
Education
B.Tech at College of Engineering Trivandrum
Master’s Degree at University of Southern California
Master's degree at University of Southern California
Master of Science - MS at University of Southern California
Master's degree at University of Southern California
