Jon Tamir - Home
Description: data mining, learning over networks, machine-learning, graph, signal processing, tracking
software (34577) ranking (654) data mining (566) clustering (60) recommender systems (22) link-analysis (13) collaborative filtering (4) signal processing on graph (2) julia programming language (2)
I'm a PhD candidate (exp. grad. Fall 2022) of the Electrical and Computer Engineering (ECE) Department at the University of Texas at Austin , under the supervision of Prof. Sriram Vishwanath and Prof. Jonanthan Tamir .
My research interests span the areas of Unsupervised Representation Learning , Generative Models , and Graph Embedding . Specifically, I am interested in the design of robust, transferable, and efficient algorithmic frameworks for represenation learning tasks. I am currently focused on knowledge distillation for learning representations , and particularly for contrastive representation learning.
I serve as an NLP Engineer in the Erica Team at Bank of America , where my primary focus is the development of an internal Large Language Model (LLM) tailored to specialized banking data. In addition to this, I am actively engaged in addressing challenges related to the sentiment classification of heavily long-tailed data , as well as in the development of automated drift detection mechanisms .
Jon Tamir - Home