Jun 2023 – Dec 2025 · 2 yrs 6 mos · San Francisco Bay Area · Hybrid

• ❖ Member of Observability Team
• ❖ Developing and maintaining an application performance management platform capable of processing petabytes of profiling and diagnostic data

Jun 2022 – Aug 2022 · 2 mos · San Francisco Bay Area

• ❖ Part of Warden AI Team
• ❖ Built a lightweight service to capture the state of core service hosts and persist them to data stores to perform detailed analysis
• ❖ Enhanced the user interface by incorporating functionalities for capturing snapshots of hosts across single or multiple tenants

Jan 2022 – May 2023 · 1 yr 4 mos · West Lafayette, Indiana, United States · On-site

• Teaching Assistant for the following courses
• ❖ CS 37300: Data Mining And Machine Learning
• ❖ CS 42200: Computer Networks
• ❖ CS 53600: Data Communication And Computer Networks

Aug 2020 – Jul 2021 · 11 mos · Greater Bengaluru Area

• ❖ Member of OCI's CloudGuard Team
• ❖ Primarily worked on building an ML platform that supports running declarative data processing pipelines, organized as Directed Acyclic Graphs (DAGS)
• ❖ Designed and implemented the logging support provided by the platform
• ❖ Remodeled CloudGuard's threat detection pipeline to support batch mode processing by storing and migrated it to the new ML platform

Dec 2018 – Jun 2020 · 1 yr 6 mos · IIT Madras

• Project: Network Representation Learning | An IIT Madras-Intel Collaboration
• Advisors: Prof. Balaraman Ravindran and Prof. Mitesh M Khapra
• ❖ One of my works on Hypergraphs - "HPRA: Hyperedge Prediction using Resource Allocation" got accepted at the 12th ACM Web Science Conference 2020
• ❖ Hyperedge Prediction problem has immense applications in multiple domains, such as predicting new collaborations in social networks, discovering new chemical reactions in metabolic networks, etc
• ❖ I proposed a method based on the "Resource Allocation" process and showed our method achieves statistically significant improvements over state-of-the-art method

Jul 2017 – Nov 2018 · 1 yr 4 mos · Chennai, Tamil Nadu, India

• ❖ Part of Digital Apps, Games and Services (DAGS) Team and was responsible for the end-to-end functioning of Amazon Appstore
• ❖ I was also responsible for Digital Apps and Games Content on Amazon Fire TV
• ❖ Primarily worked on re-architecting Appstore's external-facing service to multiple microservices with configuration-driven architecture
• ❖ Made required changes to make Appstore ASC606 (new revenue recognition standard issued by FASB) complaint
• ❖ Technology Stack: Java, RESTful Services, Spring Framework, Amazon DynamoDB

May 2016 – Jul 2016 · 2 mos · Chennai, Tamil Nadu, India

• ❖ Member of Development Team for Alexa-driven Amazon Tech Conference 2016
• ❖ Built following Alexa skills -
• 1. Help Desk Skill - Alexa answered all the questions related to the conference
• 2. Microphone Controller Skill - Alexa acted as host for various events at the conference