Jul 2020 – Oct 2021 · 1 yr 3 mos · Greater London, England, United Kingdom

• Part of the Commerce Data Infrastructure group supporting Shops surface on Instagram, Facebook and Whatsapp. Led the design and development of realtime catalog category prediction at scale (5+Bln product items). Created tools to support E2E ML model lifecycle - data collection, model training and evaluation.

Feb 2018 – Jul 2020 · 2 yrs 5 mos · London, United Kingdom

• Part of Collaboration Frameworks at Bloomberg Terminal. Primarily developed and maintained the Contact Manager (SPDL<GO>) and the Personal File Manager (FILE<GO>). Also worked on terminal integration with Microsoft Office 365.

Jan 2017 – Dec 2017 · 11 mos · Bengaluru, Karnataka, India

• Part of High Performance Computing team at the Infrastructure group for High Frequency Trading. Responsible for building ultra-low latency systems (microsecond sensitive).

Aug 2015 – Jan 2017 · 1 yr 5 mos · Bengaluru, Karnataka, India

• Designing and developing data-quality framework to detect anomalies in data flow using Machine Learning and Statistical Modeling; and leveraging Big-Data technologies like Spark, Hadoop, NoSQL etc. Developed tools for data balancing/comparison framework of the data replicated across multiple data centres.

Aug 2014 – May 2015 · 9 mos · Greater Delhi Area

• Teaching Assistant for the course of CSL341: Fundamentals of Machine Learning during Fall 2014 and Spring 2015.

May 2014 – Jul 2014 · 2 mos · Finland

• This project fits at the interface of Machine Learning and Neuroscience. During the internship I developed machine learning model for Auditory Stimulus Reconstruction by analysis of MEG data. The key achievement was improving the speed of classical regression method by 90% for higher-dimensional data setting using kernel trick. I achieved significant accuracy in differentiating non-speech audio following leave-two-out-cross-validation.

May 2013 – Jul 2013 · 2 mos · Bengaluru, Karnataka, India

• I worked with Data Protection Group at NetApp that is responsible for high availability, backup, compliance, and disaster recovery services. During my internship I designed and developed test suites for stress analysis on snapmirror - the Automated Data Recovery product from NetApp. I had to develop in depth understanding of NetApp‘s proprietary operating system - Data ONTAP, and WAFL filesystem. The test scripts were developed in Perl language using NetApp‘s proprietary NACL library