Master of Science in IT Management
School of Sustainable Development of Society and Technology
Mälardalens University(www.mdh.se), Västerås, Sweden
I am passionate about doing design and implementation of digital solutions for different
industries. Digital innovation; using data analytics in the Cloud, Machine Learning, and AI,
makes me more enthusiastic and engaging.
I have over 19 years of experience in the area of ICT, business and communications
technology in the local and international organization. I also have knowledge and
experience in the development and operation of Business Intelligence systems, Data
mining, Machine learning model development and deployment and Cloud computing
applications using Azure and AWS.
I was Involved with ABB corporate research in doing research and prototyping of
digital solution (IoT/ML) using Azure Cloud and Machine Learning for Swedish process
industries.
Competences
Design and architecting machine learning pipeline using AWS and Azure Cloud, Machine
learning toolboxes(R, jupyter notebook, Azure ML Studio, Knime; Orange 3 etc), Web
application development using Joomla.
Other skills:
Customer requirements gathering, negotiation, training, support; good team player;
ability to listen, learn and lead; people skills; Sales and marketing;
I love take initiative to serve better, with having great entrepreneurial skills, quick
learning ability, quick adaptation ability in a team or environment, service minded
mentality with positive mental attitude and a great sense of humour. I focus on long-term
success.
Having the most interest of working as: Cloud Computing evangelist, Digitalization
specialist, Data analytics and machine learning engineer and it’s research.
Role of Multi-modal Machine Learning, Explainable AI and Human-AI Teaming in Trusted Intelligent Systems for Remote Digital Towers (Jan 2025) Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum, Waleed Reafee Sbu Jmoona, Ricky Stanley D Cruze , Alexandre Veyrie , Christophe Hurter 7th Artificial Intelligence and Cloud Computing Conference (AICCC2024)
Combining Ontology and Large Language Models to Identify Recurring Machine Failures in Free-Text Fields (Apr 2024) Marcus Bengtsson, Mobyen Uddin Ahmed, Ricky Stanley D Cruze , Peter Funk, Tomohiko Sakao , Rickard Sohlberg Dr H.C. THE 11th SWEDISH PRODUCTION SYMPOSIUM (SPS24)
A Case Study on Ontology Development for AI Based Decision Systems in Industry (Jul 2023) Ricky Stanley D Cruze , Mobyen Uddin Ahmed, Marcus Bengtsson, Peter Funk, Rickard Sohlberg Dr H.C., Atiq Ur Rehman 7th International Congress and Workshop on Industrial AI and eMaintenance (IAI)
Artificial Intelligence-based Life Cycle Engineering in Industrial Production: A Systematic Literature Review (Jan 2023) Hamidur Rahman, Ricky Stanley D Cruze , Mobyen Uddin Ahmed, Rickard Sohlberg Dr H.C., Tomohiko Sakao , Peter Funk Journal of IEEE ACCESS (IEEE ACCESS)