I am Muhammad Qasim Ayyaz, an AI and data enthusiast with hands-on experience in large language models (LLMs), natural language processing (NLP), and cloud-based AI deployment. Currently, I am pursuing a Bachelor of Science in Business Management and Information Systems at the University of Aberdeen, where I maintain a First Class Honours standing. My academic background is complemented by practical experience gained through internships and remote roles focused on AI research and prompt engineering.
I have interned at Rock River Research Ltd, where I coordinated AI features for the Pearl Knowledge Management System, focusing on LLM-powered automation and document summarization. This role allowed me to design use cases demonstrating how GPT-based models enhance business workflows and contribute to product promotion through social media outreach.
Presently, I work remotely as an AI Prompt Engineer at Outlier AI, specializing in refining LLM prompt workflows to improve response accuracy and contextual alignment by approximately 25%. I collaborate with cross-functional teams to develop AI-driven prototypes using NLP and business applications, applying programming languages such as Python, Java, and C++.
In addition to my professional experience, I am engaged in a competitive global AI training program at Samsung Innovation Campus, where I am completing over 240 hours of structured training in machine learning, deep learning, NLP, and cloud-based AI deployment. I am also developing a capstone project focused on deploying an end-to-end AI solution assessed on real-world impact and scalability.
I have undertaken personal projects such as the Seamless Stream Orchestrator, a real-time streaming controller that reduces stream interruptions by 60%, and an AI Resume Optimizer tool that leverages Hugging Face Transformers and NLP pipelines to enhance resume clarity and relevance.
My technical skills include Python, Java, SQL, LLMs, Hugging Face Transformers, NLP, computer vision technologies like OpenCV and YOLOv8, AWS cloud solutions, distributed systems, and data visualization tools such as Tableau and Power BI. I am continuously expanding my expertise through certifications and practical applications.
Beyond my technical pursuits, I have demonstrated leadership by co-founding and managing a student football league, overseeing scheduling, logistics, and media coverage. Additionally, I manage a Twitch channel focused on digital growth and analytics, where I have successfully scaled the audience and achieved Twitch Affiliate status through strategic branding and content management.
First Class Honours; Related Coursework: Computer Systems and Architecture, Object-Oriented Programming, Human-Computer Interaction, Databases and Management, Human Resource Management, Marketing Management, Accounting & Finance, Operations Management.
Competitive global AI training program with 240+ hours covering Machine Learning, Deep Learning, NLP, and Cloud-based AI deployment; weekly team-based projects; developing a capstone project focused on end-to-end AI solution deployment.
Coordinated AI features of the Pearl Knowledge Management System focusing on LLM-powered automation and document summarisation; designed and documented use cases for GPT-based models enhancing business workflows; developed technical demo content and contributed to product promotion through social media outreach; gained hands-on experience integrating LLMs in enterprise knowledge management.
Specialized in refining LLM prompt workflows to optimize response accuracy and contextual alignment by ~25%; collaborated with cross-functional teams on AI-driven prototypes using NLP and business applications; applied Python, Java, and C++ in testing and improving AI training workflows.
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