Vijay S. Kalmath

NLP - Machine Learning Engineer at Lexalytics

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vijay.kalmath@columbia.edu

New York City

I am a NLP - Machine Learning Engineer at Lexalytics, a leading multi-lingual AI company, My work is focused on deep learning research and large language models.

I completed my Master of Science in Data Science at Columbia University in December 2022 and I am passionate about pushing the boundaries of deep learning and NLP.

At Columbia, I built my expertise in deep learning and NLP by :

  1. Developing AI Modelshare as a Machine Learning Researcher under the supervision of Professor Michael Parrott.

  2. Working as a Deep Learning Researcher with Dr. Igor Kadota, where I developed convLSTM models to predict micro-climate patterns based on radar transmission data.

  3. Building course work as a Course Assistant for Deep Learning and Neural Networks as well as Machine Learning Security courses in the esteemed Columbia AI Executive Program.

My current research interests revolve around representation models and large language models, with a particular emphasis on model compression techniques and adversarial attacks.


Recent Events

Feb 6, 2023 Joined Lexalytics as NLP-Machine Learning Engineer.
Sep 1, 2022 Developing Radiology Report Generation Multi-Modal Model with Accenture
Jul 27, 2022 Started Working as a Machine Learning Researcher on AIModelshare.
May 25, 2022 Working on TextAttack (Python framework for adversarial attacks, data augmentation, and model training in NLP) - PRs
May 16, 2022 Started working as a Deep Learning Researcher at Columbia WiMNet.