Teaching Machines
I'm a MS in Machine Learning at Carnegie Mellon University, where I conduct research in multi-agent RL systems. Before this, I was a data scientist at Microsoft R&D in the Bing Ads organisation where I worked on building ad-generation and relevance-based selection pipelines. This was following my stint as a predoctoral researcher at Google Research India in the Earth Observation Sciences group. Before that, I spent an year at Microsoft Research India in the Applied Sciences group solving problems over learning on graphs. I graduated with Bachelors in Technology (B.Tech.) from Indian Institute of Technology Bombay, in July 2021. My research interests include learning over graphs, Bayesian machine learning and more recently, natural language processing.
Implemented an anomaly detection system on an ensemble of Isolation Forest, ARIMA and Gaussian Process models, to flag and remove anomalous recommendations for Amazon's advertising emails.
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