Amer Alsabbagh
About Amer Alsabbagh
Amer Alsabbagh is a Senior Data Scientist currently working at Relyance AI, where he specializes in applying large language models for legal document processing. He has a background in computer science and engineering, with previous roles at Reveal-Brainspace and the Illinois Institute of Technology.
Current Role at Relyance AI
Amer Alsabbagh serves as a Senior Data Scientist at Relyance AI, a position he has held since 2021. In this role, he focuses on the application of advanced natural language processing techniques, specifically utilizing large language models for legal document processing. His work includes tasks such as information extraction and search, which are critical for improving the efficiency of legal workflows.
Previous Experience at Reveal-Brainspace
Prior to his current position, Amer Alsabbagh worked as a Senior Data Scientist at Reveal-Brainspace from 2020 to 2021. During his tenure, he contributed to projects that leveraged data science methodologies to enhance the capabilities of the company's solutions in the legal technology sector.
Educational Background
Amer Alsabbagh has a solid educational foundation in computer science and engineering. He earned an Associate of Science degree in Engineering Science from College of Lake County, followed by a Bachelor of Science in Computer Science and a Master of Science in Computer Science from Illinois Institute of Technology. His studies spanned from 2013 to 2018, providing him with a comprehensive understanding of the field.
Teaching and Tutoring Experience
Amer Alsabbagh has experience in education, having worked as an Instructor at Illinois Institute of Technology in 2017 and 2018. Additionally, he served as a Tutor II and Tutor I at College of Lake County from 2015 to 2016 and in 2014, respectively. His roles involved supporting students in their academic pursuits, enhancing their understanding of complex subjects.
Technical Expertise in AI and NLP
Amer Alsabbagh specializes in deploying AI solutions on Google Cloud Platform (GCP) and employs advanced techniques in natural language processing. He utilizes fine-tuning and embeddings with OpenAI's GPT and Meta's LLaMA models, as well as BERT-family models with supervised and few-shot contrastive learning, to enhance natural language understanding in various applications.