Hossein Keshavarz
About Hossein Keshavarz
Hossein Keshavarz is an NLP/ML Engineer with experience at Wysdom.AI and Calabrio, Inc. He has a strong academic background in Computer Science and Engineering, with expertise in relational databases, SQL, and Graph Neural Networks.
Work at Calabrio
Currently, Hossein Keshavarz works at Calabrio, Inc. as an NLP/ML Engineer. He has held this position since 2024, contributing to projects that involve natural language processing and machine learning. His role is based in Toronto, Ontario, Canada, where he applies his technical skills to enhance Calabrio's offerings.
Previous Experience at Wysdom.AI
Before joining Calabrio, Hossein Keshavarz worked at Wysdom.AI as an NLP/ML Engineer from 2022 to 2024. During his two years at the company, he focused on developing solutions in natural language processing and machine learning, furthering his expertise in these fields while based in Toronto, Ontario, Canada.
Education and Expertise
Hossein Keshavarz holds a Master of Science (MS) in Computer Science from the University of Waterloo, where he studied from 2020 to 2022. He also earned a Bachelor of Science (B.Sc.) in Computer Engineering with a Software Major from Sharif University of Technology, completing his studies from 2015 to 2020. His academic background is complemented by proficiency in designing relational databases, writing SQL queries, and leveraging Graph Neural Networks for real-world applications.
Teaching and Research Roles
Hossein Keshavarz has held several academic positions, including Graduate Teaching Assistant and Graduate Research Assistant at the University of Waterloo from 2021 to 2022. He also served as an Undergraduate Research Assistant and Teaching Assistant at Sharif University of Technology from 2016 to 2020. These roles allowed him to engage in teaching and research, contributing to the academic community.
Technical Skills and Technologies
Hossein Keshavarz possesses experience in operating scalable distributed technologies, including Spark, Kafka, and Cassandra, on Linux-based cloud platforms using Docker. His technical skills enable him to tackle complex challenges in data engineering and machine learning, making him a valuable asset in his field.