Vijay S. Kalmath
NLP - Machine Learning Engineer at Lexalytics
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 :
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Developing AI Modelshare as a Machine Learning Researcher under the supervision of Professor Michael Parrott.
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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.
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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. |
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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. |