Jun 2017 – May 2019 · 1 yr 11 mos

• Applied Machine Learning - Online Fraud detection platform. Working on building ETLs and high throughput, realtime, distributed, machine learning platform for Data Scientists.

Jul 2016 – Jun 2017 · 11 mos

• Azure - SQL Data Warehouse team

Jan 2016 – May 2016 · 4 mos · Santa Clara

•  Part of the Software Defined Networking team, worked on the Operating System of the Arista switch, designed to communicate with a Software Defined Controller.
•  My work involved designing, implementing and testing a feature which enables the switch to talk to multiple,redundant controllers.
•  Involved kernel programming in TACC (Arista defined language) and python.

Jun 2015 – Aug 2015 · 2 mos · Palo Alto

• As an intern at the data plane group of the NSX team at VMware working on implementation of a proposal which would learn MAC addresses in NSX logical L2 implementation based on an identifier assigned to the source transport node. This feature would handle fault tolerance and enable load balancing at the data plane level.

Jan 2015 – Dec 2015 · 11 mos · University of Southern California

• Evaluate homeworks and provide guidance to students who have taken Analysis of Algorithms course.

May 2013 – Jul 2013 · 2 mos · Kaiserslautern, Germany

• Part of a team which worked on the implementation of Aqua (improvised version of The Onion Router). Aqua is a paper, accepted at SIGCOMM – 2013 and aims at efficient traffic analysis resistant networking.
• Guide – Prof. Paul Francis, Scientific Director, MPI-SWS.

May 2012 – Jul 2012 · 2 mos

• Research project regarding the Queuing Delays and Random Early Detection techniques used for HTTP-TCP packets. Developed a simulator to analyze the path of packets when multiple TCP connections are established.
• Guide – Prof Debabrata Das, Dean R&D, IIIT-B