Parameswaran Raman

Ph.D. Candidate, Computer Science
Machine Learning and Intelligence Lab (Engineering 2, 489)
University of California, Santa Cruz (Transferred from Purdue University in 2014)
Email: params AT ucsc DOT edu

I am in the job market this academic year (2019-2020).

I am a final year Ph.D. candidate in Computer Science at University of California, Santa Cruz advised by Prof. S.V.N. Vishwanathan. My research interests lie at the intersection of Optimization and Large-Scale Machine Learning, with applications in areas such as Ranking, Recommender Systems, Extreme Classification (multi-class or multi-label involving huge number of data points and classes/labels), Extreme Clustering (huge number of data points and clusters) and Deep Learning. Other interests include Scalable Bayesian Inference for Graphical Models.

My thesis work has focussed on:

During the course of my Ph.D., I have also spent wonderful summers interning at LinkedIn (2014), Microsoft Research CISL Lab (2015), Adobe Research (2016) and Amazon AI (2017) working on diverse interesting problems in machine learning. Before joining my Ph.D., I worked at Yahoo! (2011-2013) in the Personalization Group on applying machine learning and NLP to Entity Matching, Entity Extraction and Knowledge Graph problems. I got my masters degree in Computer Science at Georgia Tech (2011). I worked in the Sonification Lab of Georgia Tech, with Prof. Bruce Walker in developing auditory and non-traditional interfaces for Human Computer Interaction.

More details can be found in my [CV].




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