Nov 2021 – Apr 2023 · 1 yr 5 mos · Mountain View, California, United States

Feb 2021 – May 2021 · 3 mos · Palo Alto, California, United States

• Developed a solution for optimizing communication collectives for large-scale deep learning recommendation models.

Jun 2020 – Aug 2020 · 2 mos · Redmond, Washington, United States

• Developed an Online Cluster Scheduler for Distributed Deep Learning.

Sep 2019 – Jan 2020 · 4 mos · Greater Boston Area

• Developed a solution for automated generation of risk-minimized datacenter network update plans using Reinforcement Learning.

May 2017 – Aug 2017 · 3 mos · Redmond, Washington

• Worked on data-driven approach for categorization and localization of faults in Wide-Area Networks.

Sep 2016 – Sep 2021 · 5 yrs · Madison, Wisconsin

Aug 2015 – May 2016 · 9 mos · Madison, Wisconsin

May 2016 – Aug 2016 · 3 mos · Palo Alto, California

• Worked on developing an automated system that enforces policies before and after network migration by defining a core set of management plane abstractions that manifests policies as graphs and defining policy-preserving transformations during network migration.

Jul 2013 – Jul 2015 · 2 yrs · New Delhi, India

• Developed and implemented solutions for securing software-defined network controllers that resulted in publications at top-tier conferences and proof-of-concept implementations showcased to IBM clients. I also managed the labs' software-defined data center network.

May 2012 – Jul 2012 · 2 mos

• Operationalized large-scale feature selection on a Hadoop cluster for risk assessment of transactions at American Express.

May 2011 – Jul 2011 · 2 mos

• Developed a secure federated architecture for cloud collaboration services.

Jul 2008 – Jun 2013 · 4 yrs 11 mos