Mar 2022 – Dec 2023 · 1 yr 9 mos · Seattle, Washington, United States

• Spearheaded the design and implementation of an end-to-end automated security patching system for AWS SageMaker HyperPods. Provided technical leadership, defined the customer experience, and managed failure scenarios to minimize downtime, ensuring project success and meeting critical security goals.
• Led a team of 3 engineers to reduce impact of infrastructure failures on training jobs when scaling to >1000 GPUs and reduce startup time from ~20 mins to <1 min for model parallelism use-cases.
• Lead SDE to independently revamp the customer experience for launching distributed training jobs on SageMaker. Designed and implemented a feature to allow customers to launch Torchrun based jobs on AWS SageMaker using the SageMaker Python SDK with no code changes to their training script.
• Contributed to the Amazon SageMaker Distributed Data Parallelism (SMDDP) library for large scale data parallel distributed deep learning model training with TensorFlow and PyTorch.
• Counseled Amazon SageMaker customers like Torc Robotics, Rivian and LightOn to help them use SMDDP and scale training workloads for 1B – 175B parameter models on >3K GPU clusters.

Jan 2022 – Jul 2022 · 6 mos · Global

• The Council for Good is a group of AI innovators, policy makers and social change-makers dedicated to using technology to advance the United Nation’s SDGs.

Oct 2021 – Mar 2022 · 5 mos · Greater Seattle Area

• Part of the Kindle Manga team, responsible for designing and building systems that support content ingestion from publishers
• Built a plagiarism detection system for a new category of Manga books
• Led collaboration with product managers and 6 partner teams to design and implement a solution that excludes books from certain devices
• Actively mentored new developers and interns on the team. In addition, served as a Scrum Leader for my team.

Feb 2020 – Oct 2021 · 1 yr 8 mos · Greater Seattle Area

Jun 2019 – Sep 2019 · 3 mos · Greater New York City Area

• Developed a serverless web application for the Kindle Comics Team that supports operational use cases for maintaining and troubleshooting data stored in DynamoDB
• Technologies used: AWS Lambda, AWS DynamoDB, AWS API Gateway, Java, React Redux

Oct 2020 – Oct 2021 · 1 yr

• Mentoring young women to prepare the next generation of female leaders to boldly step into careers powered by technology.

Apr 2019 – Jun 2019 · 2 mos · Greater Los Angeles Area

• Worked as a Graduate Teaching Assistant for the course 'Machine Learning for Economics (Spring 2019)' for graduate students at UCLA.
• My responsibilities included:
• Familiarizing the students with the use of Python for Machine Learning
• Holding office hours to help them with various concepts and doubts
• Helping the Professor in creating and grading assignments, projects and exams

Jan 2019 – Dec 2019 · 11 mos · Greater Los Angeles Area

• I worked under the guidance of Prof. Ramin Ramezani on the problem of low classification accuracy of the minority class in imbalanced health-related image datasets.
• Developed a Genetic algorithm that uses a combination of data-driven and algorithmic approaches to effectively handle this imbalance by generating synthetic data
• Achieved a higher F-score when performing classification on 8 out of 9 real-world datasets, with an improvement of ~1%

May 2017 – Jul 2017 · 2 mos · Bangalore, India

• Interned in the Client Group of the Intelligent Services Team
• Wrote grammar files and python scripts based on Deep Neural Networks to generate training data for the training the model of Bixby, Samsung’s virtual assistant
• Developed a client-server based Android Application using WebSocket

May 2016 – Dec 2016 · 7 mos · Mumbai Area, India

• Led a team of over 200 students at Technovanza, VJTI, mainly handling Marketing, Public Relations, Events and Media