Ali Lotfi Rezaabad
Welcome
I am a Data Scientist in the Erica R&D Team at Bank of America, where my primary focus is the development of an internal Large Language Model (LLM) from scratch tailored to specialized banking data. In addition to this, my other focus is to the sentiment classification of heavily long-tailed data, as well as in the development of automated drift detection mechanisms.
I got my PhD in Electrical and Computer Engineering (ECE) from the University of Texas at Austin, under the supervision of Prof. Sriram Vishwanath and Prof. Jonanthan Tamir.
My research interests span the areas of Large Language Models (custom built) , Knowledge Distillation , Transfer Learning (DA) , Unsupervised Learning, and Graph Embedding. Specifically, I am interested in the design of robust, transferable, and efficient algorithmic frameworks for represenation learning tasks. I'm currently working on knowledge distillation for LLMs .
Please see Research and my Google Scholar for a complete list of publications.
Education
PhD in Electrical Engineering
- PhD Dissertation: Novel Approach for Learning Representations
MSc in Electrical and Computer Engineering
- ECE Department, Sharif University of Technology (July 2016), Tehran, Iran
BSc in Electrical and Computer Engineering
- Electrical and Computer Engineering, University of Kerman (July 2014), Kerman, Iran