Rushdi Shams, PhD

Rushdi Shams, PhD, has extensive work experience in the fields of machine learning, data science, and artificial intelligence. Rushdi is currently employed as a Senior Machine Learning Engineer at DistillerSR, where they utilize their expertise in machine learning to develop and improve products.

Prior to their current role, Rushdi worked at Amazon Web Services (AWS) as a Data Scientist II. In this position, they combined data science methodologies with a deep understanding of various business sectors to build scalable and reliable products and proof-of-concepts. Rushdi also managed customer projects from start to finish, ensuring high-quality engagement delivery.

Before joining AWS, Rushdi worked at OneClass - Notesolution Inc. as a Senior Machine Learning Engineer. During their time there, they played a key role in planning, designing, and building machine learning and natural language processing (NLP) products. Rushdi collaborated with various stakeholders to identify critical areas for business and revenue growth and developed solutions to improve content generation, cataloging, recommendation, and search capabilities.

Rushdi also has experience as a Digital Innovation Specialist at Sustainalytics, where they independently developed machine learning and NLP proof-of-concepts, products, and artifacts to solve complex text-related problems. Rushdi created intelligent data harvesters, summarizers, trend predictors, and incident detection tools.

Earlier in their career, Rushdi worked as a Text Analytics Researcher at Western University, where they focused on developing solutions for text data normalization and news summary generation problems. Rushdi achieved notable accomplishments such as creating an algorithm to detect informative areas in texts and developing a text summarizer with high accuracy. Rushdi also served as a Teaching Assistant and Research Assistant during their time at the university.

Additionally, Rushdi has worked as an Instructor at Cisco, where they managed large classes and taught the CCNA curriculum. Rushdi also gained experience as an Assistant Professor at Khulna University of Engineering and Technology (KUET), collaborating with faculty members to plan theory and lab classes and supervising and evaluating student research projects.

Early in their career, Rushdi worked as an Artificial Intelligence Researcher at the Machine-Mediated Multimodal Communications (M3C) Lab, University of Bolton. During this time, they gained experience in formulating problems, reviewing literature, and implementing scientific methods in a project focused on machine-mediated multi-modal communications.

Overall, Rushdi Shams, PhD, has a diverse and accomplished work history, with a strong focus on machine learning, data science, and artificial intelligence.

Rushdi Shams, PhD, has a strong educational background in the field of computer science, natural language processing, and machine learning. Rushdi obtained their Bachelor of Science (BSc) degree in Computer Science from Khulna University of Engineering and Technology, where they studied from 2002 to 2006. Following this, they pursued a Master of Science (MSc) degree in Information Technology from The University of Bolton, completing their studies in 2007. Their academic journey culminated with a Doctor of Philosophy (PhD) degree in Natural Language Processing and Machine Learning from The University of Western Ontario, which they obtained in 2014.

In addition to their formal academic qualifications, Rushdi Shams also holds various certifications that further enhance their professional development. These certifications include "Machine Learning" from Coursera, completed in September 2012, and the "Cisco Certified Network Instructor" certification from Cisco, obtained in May 2008. Most recently, in April 2023, they obtained the "AWS Certified Data Analytics – Specialty" certification from Amazon Web Services (AWS).

Moreover, Rushdi Shams has taken several online courses and obtained numerous certifications from LinkedIn on topics such as leadership, resilience, career wellness, problem-solving, strategic planning, thought leadership, and emotional intelligence. These certifications were obtained between May and July 2023 and signify their dedication to continuous learning and professional growth.