SWE Intern (May 2020 - Aug 2020)
Automated capacity regulation for storage clusters in Azure X-Store : Designed, developed, tested & deployed a system that monitored the health of storage clusters and performed automated performance tune up.
Tech - C++, C#, KQL, Geneva Monitoring & Workflows, Azure
Undergraduate Intern (Jan 2017 - Jul 2017)
Performed dimensionality reduction to reduce the number of attributes from 205 to 139.
Trained a Gradient Boosted Model on the static attributes of portable executable files to detect ransomware from other threats and clean files at an accuracy of 89.80% with 0.003 FP rate.
The classifier could detect most of the samples of the infamous ‘WannaCry’ ransomware.
Tech - Python (sci-kit learn, pandas, numpy), statistical analysis, XG-Boost, Random Forests and ensembling, MS-SQL.