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Rajhersh Patel

@rajhershpatel

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Ph.D. specializing in LLMs and Generative AI seeking Machine Learning roles.

United States

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What I'm looking for

I am looking for a collaborative environment that fosters innovation and growth in machine learning.

I am Dr. Raj Patel, a Ph.D. candidate at George Mason University specializing in Large Language Models (LLMs), Generative AI, Deep Learning, and Representation Learning. My academic journey has been marked by a strong focus on natural language processing (NLP) and innovative research methodologies. With a GPA of 3.94, I have developed cutting-edge approaches to improve model understanding of rare and unknown words, which has led to multiple publications in prestigious NLP conferences.

Throughout my research experience, I have worked on various projects, including a social media mental health tool that leveraged LLMs to diagnose depression rates based on user posts. My internship at RSA Data Science allowed me to build models for log tagging and legal document matching, where I experimented with traditional machine learning techniques and deep learning. I am passionate about applying my skills in a collaborative environment where I can contribute to impactful projects in the field of machine learning.

Experience

Work history, roles, and key accomplishments

Graduate Teaching Assistant

George Mason University

Sep 2013 - May 2024 (10 years 8 months)

Served as a Graduate Teaching Assistant for various computer science courses, including Object-Oriented Programming (Java), Essentials of CS, Algorithms, and Artificial Intelligence. Provided instruction and support to students, enhancing their understanding of complex topics.

Teaching Java Object Oriented Programming Algorithms Artificial Intelligence Computer Science Fundamentals

Main Ph.D. Research

George Mason University

Sep 2021 - May 2024 (2 years 8 months)

Developed cutting-edge rare and unknown word estimation approaches, improving model understanding of these words and outperforming state-of-the-art approaches. Published multiple papers at NLP conferences.

NLP Representation Learning Generative AI Research Deep Learning Transformers PyTorch

CINA Supply Chain Project

George Mason University

Sep 2022 - Aug 2023 (11 months)

Used ECJ/MASON evolutionary techniques to identify supply chain weaknesses and protection strategies. This involved applying advanced computational methods to real-world logistical challenges.

ECJ Mason Problem Solving Data Analysis

FAST Social Media Mental Health Tool

George Mason University

Sep 2021 - May 2023 (1 year 8 months)

Leveraged LLMs (BERT/ALBERT) to diagnose depression rates of Reddit users based on social media posts. Finetuned, experimented with, and evaluated multiple strategies to optimize performance.

LLM BERT ALBERT NLP Machine Learning Data Analysis Experimentation Proposal Writing

GMU Evolutionary Computation Laboratory

George Mason University

Jun 2020 - May 2022 (1 year 11 months)

Converted standard MASON features to Distributed MASON, a Java MultiAgent Simulation toolkit. This work enhanced the toolkit's capabilities for large-scale simulations.

Java Simulation Distributed Systems Software Development Mason

Data Science Internship

RSA

Jun 2018 - Aug 2019 (1 year 2 months)

Built models for log tagging and legal document tagging and matching. Found optimal approaches, experimented with traditional ML techniques, dimensionality reduction, deep learning, and transfer learning.

Machine Learning Deep Learning Learning Transfer Dimension Reduction Data Modeling Python

Education

Degrees, certifications, and relevant coursework

George Mason University

Ph.D, M.S. in Computer Science, Computer Science

Grade: 3.94

Pursued a Ph.D. and M.S. in Computer Science, specializing in LLMs, Generative AI, Deep Learning, and Representation Learning. Achieved a GPA of 3.94, focusing on advanced topics in artificial intelligence and machine learning.

University of Virginia

B.A. with Distinction in Mathematics and Cognitive Science, Mathematics and Cognitive Science

Grade: 3.64

Completed a Bachelor of Arts with Distinction, focusing on Mathematics and Cognitive Science. Achieved a GPA of 3.64, gaining a strong foundation in analytical thinking and cognitive processes.