I’m a first-year MS CS student at New York University and an alumnus of Indian Institute of Technology Madras, where I completed my Bachelor’s in Electrical engineering. I’m passionate about everything surrounding Machine Learning, Generative Models, Graph Theory, and theoretical Deep learning.

Prior to this, I was a Senior Member of Technical Staff at Oracle, in the DB Transactions where I worked on the development and designing of a new cloud-optimized storage infrastructure for Oracle database utilizing NVM-optimized data structures and storage media. I have been a deep learning intern at Digital Innovations Lab, IIM Bangalore where I worked on developing models to classify diabetic retinopathy grades with CNNs. Later I interned at Samsung Research Institute where I developed methods to enhance Bixby Search using probabilistic topic modelling and word embeddings. Based on my performance, I received a pre-placement offer at Samsung for the role of software developer.

My research

My work on Routing algorithms for Quantum networks is my first attempt at academic research, and this got me hooked onto mathematically challenging problems. The work took me through methods such as MDPs which play a vital role in the field of Reinforcement Learning, to Lyapunov Drift Stabilisation- a key component of Queuing Theory.