• Morty - The intelligent Bot: Designed and developed a bot which answered queries regarding release builds and their metrics. Tech used: Azure Bot Framework, Azure Language Understanding Service and Azure Cloud AI, ReactJS, C#.
• Hackathon: Won the annual Machine Learning and Data Analytics 2018 hackathon with over 100 participants.

• Storage Policy Based Management: Designed and implemented the frontend for VMware neXt generation Vasa Provider (xVP) in Java. This helped create performant and scalable VP implementation thus reducing VMware's dependency on partner implementations.
• Patent: "Early Risk Detection System" helps detect system states which can lead to a crash and pre-emptively makes changes to migrate to a safe state for systems running within VSphere.
• PowerCLI: Developed vSAN management commandlets like vsan-health, vsan disk etc for the 2016 release.
• Hackathons: Developed Kubernetes management framework on vCloudAir, container management on multi-cloud and host-based SPBM. Have won Best Project Award (out of 40 other new college graduate projects) and best market potential award for the above projects.

• Google Summer of Code (Student Developer): Developed full stack implementations of microblogs, user profiles and communication amongst the users using Java for open source organisation Freenet project.
• TagAlong, MIT Global Startup labs (Developer): Co-founded a dynamic ride sharing startup which was incubated at MIT startup labs. Designed and developed the Android application for TagAlong.
• PES Entrepreneurship cell (Club co-founder, Secretary): Co-founded and led PES E-Cell. With the help of the amazing E-Cell team we organised over 20 events and one mega event boasting of 200+ participants raising over INR 300,000 from sponsors like Reliance and Github.
• Juniper Networks Intern, Application Development: Conceptualized and built Android application for managing approval related tasks. Used ssl certificates to provide login rather than the simpler text based username and password verification.

• Understudy Approach - A Multi-Agent Reinforcement Learning technique: In this approach we trained agents to learn complex tasks by combining the models of agents trained on simpler objectives. Applied this approach to encourage collaboration between two agents whose objective was to collect multiple coins in a room as efficiently as possible.
• Super Resolve Videos using SRGANs: One of the state of the art techniques at the time of writing, to super resolve an image involves the SRGAN technique. We investigated the effects extending the SRGANs on videos to super resolve them. We further modified the loss functions to remove flickering effects.
• Publication: An Early Risk Detection and Management System for the Cloud with Log Parser - Computers in Industry, Elsevier May 2018 https://doi.org/10.1016/j.compind.2018.01.018: Built a system that combined association rule learning and machine learning to provide insights on the operations that can put a system in peril, and recommend suitable steps to reduce or eliminate the risks causing a crash.
• Improving query latency for Greenplum Database: Introduced the concept of user priorities for jobs in queue. These priorities were used to throttle the compute resources for the inter-connected processes in the distributed database, significantly improving the response latencies.
  Achieved an 80% decrease in response time for high priority users and a 10% decrease in response time for lower priority users. This project was adjudged the best out of 70 projects under “Technology Impact” in the Class of 2015.