Tom Mathews
About Tom Mathews
Tom Mathews is a Machine Learning Engineer with extensive experience in software development and a strong focus on Natural Language Processing. He has worked at various organizations, including Amazon, Lyft, and Qualcomm, and holds multiple degrees in engineering and machine learning.
Work at Turing
Currently, Tom Mathews serves as a Machine Learning Engineer at Turing.com, a position he has held since 2022. His role involves a strong focus on Natural Language Processing and Generative Adversarial Networks. He leads a team dedicated to enhancing the capabilities of an Artificial Conversation Entity using GPT architecture. His work contributes to the development of advanced machine learning solutions in a remote setting.
Education and Expertise
Tom Mathews has a diverse educational background in engineering and machine learning. He holds a Bachelor of Technology (B.Tech.) in Electronics and Communication Engineering from Rajiv Gandhi Institute of Technology, Kottayam, completed in 2010. He earned a Master of Science (M.S.) in Electrical Engineering from New York University - Polytechnic School of Engineering in 2013. Additionally, he pursued a Master of Science in Machine Learning & Artificial Intelligence at Liverpool John Moores University from 2022 to 2023. He also achieved an Advanced Certificate in Machine Learning and Cloud from the Indian Institute of Technology, Madras, from 2021 to 2023, and a TensorFlow Developer Certificate from Zero To Mastery Academy in 2022.
Background
Tom Mathews has accumulated extensive experience in software engineering and machine learning across various organizations. He began his career as a Teaching Assistant and later a Graduate Assistant at the Polytechnic Institute of New York University in 2011 and 2012, respectively. He worked at Qualcomm as an Engineer from 2013 to 2014 and spent five years at Amazon Lab126 as a Software Development Engineer in Test from 2014 to 2019. He continued his career at Amazon as a Software Development Engineer in Test from 2019 to 2020, followed by a role at Lyft as a Software Engineer In Test in 2021. He also worked at Harness as a Staff Software Engineer for five months in 2022.
Achievements
Tom Mathews specializes in fine-tuning large language models for various applications, including question answering, language translation, and text summarization. He has experience in designing and developing automation frameworks from scratch for customer-facing products. His focus on enhancing artificial intelligence capabilities, particularly through the use of GPT architecture, highlights his contributions to the field of machine learning.