Shreyas Shankar

- Working in the Azure High Performance Computing team, supporting GPU clusters for large-scale AI/ML training workloads for internal and external customers. -Previously worked with Azure Centre for SAP team, developing backend services for SAP workloads on Azure. -Played a key role from early product development to GA, focusing on feature delivery, deployment automation, and test infra. -Received Azure Core Efficiency Champs and Azure Core Quality Champs awards for cost optimizations and reliability improvements.

Pursuing research at the Information Retrieval and Extraction Lab under Prof. Vasudeva Varma . As a part of the Project Angel initiative to combat harassment in social media, I have worked on detecting body shaming on Instagram, by creating data-sets and building classifiers to very high degrees of accuracy. Currently working on summarisation in the financial domain. As a team, we have built a scalable service using containerised development, that handles end-to-end processing from parsing PDFs to generating high quality summaries and tweets from the documents. I’ve built the summarisation module to produce high quality summaries with state of the art NLP techniques.

TA for the Information Retrieval and Extraction course under Prof. Vasudeva Varma. Responsibilities include setting quizzes, evaluating assignments, conducting tutorials and mentoring major project.

I was a part of the Azure Region Move service team. My project was to build a graph-based visualization for Azure resources in a Move collection. Took the project from holding PM discussions and finalizing the design, to building a standalone PoC, and finally integrating it with the Azure Ibiza portal experience to deploy. The solution was scale tested to handle visualization of 800+ resources. I was given a Pre-Placement Offer at the completion of this internship.