A highly motivated Software Engineering student and remote researcher specializing in Artificial Intelligence, Deep Learning, and Digital Twin Technology, with a strong foundation in UI/UX design. Currently contributing to advanced automotive AI systems at Hubei Key Laboratory, focusing on model development, data analysis, and research dissemination. Proven ability to deliver user-centric digital products and drive innovation at the intersection of AI and design.
Remote Software Engineer Researcher
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Summary
Led advanced research and development initiatives in Artificial Intelligence and Deep Learning for automotive applications, contributing to cutting-edge smart car systems.
Highlights
Conducted in-depth research to advance Artificial Intelligence and Deep Learning algorithms, enhancing model performance and efficiency by optimizing learning capabilities.
Specialized in applying AI and Deep Learning to develop innovative solutions for self-driving cars and intelligent automotive systems.
Developed and rigorously tested machine learning models and computer programs, optimizing their learning capabilities and accuracy.
Performed comprehensive data analysis to identify critical patterns, leveraging insights to refine AI models and improve system intelligence.
Authored and presented detailed research reports, effectively disseminating findings to academic and professional audiences.
Remote Design Engineer
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Summary
Designed and optimized user interfaces and experiences for digital products, ensuring intuitive and visually appealing solutions for diverse user needs.
Highlights
Created intuitive and visually appealing UI/UX designs for websites and applications, enhancing user engagement and satisfaction.
Prioritized user-centric design principles, ensuring simplicity and enjoyment across digital product interactions.
Developed comprehensive design assets, including mockups, wireframes, and interactive prototypes, to visualize and validate product concepts.
Conducted user testing and gathered feedback to iterate on designs, leading to significant improvements in usability and overall user experience.
Collaborated closely with development teams to ensure seamless implementation of designs, maintaining design integrity throughout the product lifecycle.
Design Writer
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Summary
Contributed as a volunteer design writer, sharing expertise and connecting with creatives to inspire and empower aspiring design students.
Highlights
Disseminated design knowledge through written content, fostering a free exchange of ideas within the design community.
Provided valuable insights and perspectives to prospective design students, aiding their learning and development.
Engaged with a global community of designers, expanding professional network and collaborative opportunities.
Awarded By
Higher Education Commission - Pakistan
Recognized for outstanding academic performance as a student at a top Engineering University in Pakistan, awarded by HEC to support brilliant students and enhance learning experiences.
Published by
Scientia. Technology, Science and Society
Summary
Proposed a novel deep learning-based method for smart and heavy manufacturing bearing fault diagnosis, utilizing a CNN with LSTM to address issues of weak fault signals and high background noise, significantly improving diagnostic accuracy and enabling quantitative severity assessment without manual intervention.
Python, HTML, CSS.
VS Code, Git, Google Collab.
Figma, Microsoft Designer, Canva.
Microsoft 360 Tools, Google Products for Professionals.
Artificial Intelligence, Deep Learning, Digital Twin Technology, Internet of Things (IoT), Real World Systems, Neural Networks, RAG, Large Language Models.
PhD Researcher, Research Supervisor at School of Automotive Engineering, Wuhan University of Technology, Wuhan 430070, China. Email: muhammad@whut.edu.cn | Phone: (+86) 18383163129 | Link: http://english.whut.edu.cn/rese/
Head of Department Biological Sciences, Advisor and Teacher (2019-2021) at Forman Christian College, University, Lahore, 54600, Pakistan. Email: mashhudusman@fccollege.edu.pk | Phone: (+92) 3214947001 | Link: https://intermediate.fccollege.edu.pk/member/mr-mashhud-usman/