I am a software development engineer (database performance engineer) working with Intel Corporation in United States. My role involves using performance methodologies and industry standard database benchmarks to optimize software and ensure that it offers best performance on Intel architecture.
I graduated with a Ph.D. in computer science (research focus: databases) in 2017 from University of Cincinnati and was advised by Prof. Karen C. Davis. In my PhD research I developed graph-based solutions to address some of the challenges in the structured data management world. My findings are published in conferences, as a book chapter and I am in the process of submitting another paper for a journal publication.
Apart from my work at Intel, I like to stay in touch with academia. Investigating existing opportunities and developing new ones for incorporating learnings from industry experience back into the academic classrooms is another prime area of my interest. As a part of intial efforts in this direction, I was recently invited for two guest lectures on database benchmarks at Portland State University. My talks were focused on database benchmarking and the idea was to offer students a glimpse into some of the active work in databases from industry perspective. Shared few real-world examples around query optimization, how databases and underlying hardware are connected.This collaboration also led to an accepted publication at a leading computer science education conference worldwide (ACM SIGCSE).