Sep 2019 – Aug 2024 · 4 yrs 11 mos · Greater Seattle Area

• Scaling limits of Algorithms on Large Matrices

Jul 2017 – Jul 2019 · 2 yrs · Bengaluru Area, India

• During my Research Fellowship in the Machine Learning and Optimization theory group at Microsoft Research Lab - India, I explored streaming and offline PCA, Deterministic and Stochastic Optimization of convex and non-convex functions and understanding complexity and error bounds of certain optimization algorithms. I have worked on sparse regression algorithms like hard thresholding and matching pursuit, understanding their generalization and support recovery guarantees. I also explored the theoretical aspects of practical Deep Learning, understanding the dynamics of well-known optimization algorithms and their generalization capabilities, along with several phenomena.

May 2016 – Jul 2016 · 2 mos · Bengaluru Area, India

• Worked on Recommendation Systems, re-targeting Matrix factorization with restricted monotonicity.
• This work had been extended after the internship and has been published at WSDM 2019.

Jun 2015 – Jul 2015 · 1 mo · Mumbai Area, India

• Worked on modelling a Policy Uncertainty Index for India using newspaper media. Used Machine Learning tools like Soft Margin Support Vector Machines and Kernel methods. Came up with an index that had correlations of 0.61 with Indian VIX just using text articles. We also were able to detect important national events like terrorism, political elections, economic crisis, etc.

Jul 2013 – Jun 2017 · 3 yrs 11 mos · Guwahati Area, India

• Team member at Technothlon, managed Technopedia at national level, worked for an online event for qualifying participants.
• Participated in Kriti (inter-hostel technical competition) and Manthan (inter-hostel cultural competition).
• Mentored freshmen as a part of the Student Mentorship program of the institute.