Aakanksha Sanctis
MLE @ Pinterest | Amazon | Columbia University | BITS Pilani
- Role
- Machine Learning Engineer at Pinterest
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
About Aakanksha Sanctis
I want to create a world in which machines can learn to solve high complexity problems and automatically deploy hands-off-the-wheel models without human intervention. I am a software engineer by trade with 2+ years of experience in the International Machine Learning team in Amazon, where I donned many hats; working on explainability frameworks for tree-based models, creating dual ranking infrastructure using Elasticsearch and Learning to rank for Amazon\'s internal data lake and creating features for ML automation platform for end-to-end pipelines.Through this journey, I have become proficient in Java, Python, multiple AWS services, Tensorflow, Spark etc.I am currently pursuing my Masters in Computer Science with the Machine Learning track at Columbia University.In this time, I wish to delve deeper into recommendation, personalization and NLP research along with a focus on engineering system design of large scale complex machine learning algorithms.Along with academic interests, I am always interested in knowledge dissemination and have organized interest groups for machine learning engineering and recommendation systems at Amazon.I have also been part of the Women in Engineering group and would love to collaborate with other women in technology to drive awareness and increase opportunities.A creatively inclined person, I have trained in Bharatnatyam dance for 12 years and paint 10 feet long oil paintings.Graduating in December 2023 and open to roles now!
Experience
Machine Learning Engineer
Feb 2024 — Present · Seattle, WA, US
Working in Query Understanding and Search Relevance for Pinterest
Education
Birla Institute of Technology and Science, Pilani - Goa Campus
Bachelor of Engineering - BE
2015 — 2020
St Anthony's Girls' High School
High School Diploma
Columbia University in the City of New York
Master of Science - MS
2022 — 2023
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