Dylan Moss
Ai Ml Architect @66degrees
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WORK HISTORY
Ai Ml Architect @66degrees
Vancouver, BC, CA
Served as a subject matter expert, providing critical break-fix support and strategic technical guidance to clients on the comprehensive suite of GCP AI and ML services- Led continuous improvement initiatives for client AI and ML applications, with a specialization in optimizing LLM Agentic and RAG chat platform performance and scalability- Engineered and deployed a scalable LLMOps platform utilizing KFP, significantly enhancing a client\'s ability to rapidly iterate on LLM use cases through automated fine-tuning and prompt management workflows- Led the development of an automated computer vision system for inventory analysis, directly contributing to a client\'s significant competitive edge.
EDUCATION
The University of Texas at Austin
Master's in Data Science
Queen's University
Bachelor of Applied Science - BASc, Electrical and Electronics Engineering
ABOUT DYLAN MOSS
I am a results-driven Machine Learning Engineer with a degree in Electrical Engineering from Queen\'s University. Currently, I am part of the Cloud Evolve team at 66degrees, where I contribute to cutting-edge AI projects. With 5+ years of industry experience, I specialize in applying Deep Learning, MLOps, and Computer Vision techniques.I excel at collaborating with stakeholders and translating business requirements into end-to-end data solutions that drive value for the teams. I am passionate about leveraging AI to solve real-world problems and create positive social impact. I am always eager to learn new skills and technologies and to share my knowledge and experience with others.
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