Worked as a software engineer for HPE R&D. Focused on storage driver for HPUX and android apps for IoT. Android app development was done using Kotlin/Java and used C for driver development. I have been part of team that developed driver for NVMe and developed an utility that helps in using NVMe disks as a cache. I have worked in user space daemon implementation on linux for IO acceleration like blkio throttling, target port congestion control and I have a paper presented on the same. I have also developed android application for indoor navigation using Aruba's bluetooth (meridian sdk).

During my tenure I have developed direct connect protocol for HP-UX fibre channel driver. Enhanced iSCSI daemons with proper signalling mechanism for software iSCSI. Presented papers on efficiently using software stack to solve real life problems of server administrators. I have developed android applications for HPE UR team. I have also worked on backend/frontend web development, where I used Spring boot to create APIs and React for developing UI for Storage management tool.

Sensomate system provides solutions that ensures safety of students through bluetooth beacon powered ID cards.

I was the mentor and facilitator for Android students club. I had taken sessions on android programming to more than 100 students within my college. Apart from this, I have mentored students from other colleges through hangout calls and emails.

I was the executive committee member of IEEE. The responsibility includes organizing events both inter-college and intra-college events on behalf of IEEE.

As a student activity council member of IEEE, my responsibilities include interacting with students of IEEE on behalf of all India Council. Informing them about the programs happening in IEEE. Maintaining the student membership list etc.

Worked as technical intern with Ernst & Young GSS, designing , developing and implementing a visitor tracking application powered by Bluetooth low energy (BLE) sensors.Architecture of the application consists of a persistent data store implemented in mongoDB, a non blocking scalable server with nodeJS and angularJS as the SPA. Sensors would broadcast the whereabouts and proximity of each visitor to receivers (implemented on Raspberry PI), which in turn access a REST API to update the data on to MongoDB on the server. Several visualization libraries were used to update dashboards in real time