Shams K.
Managing Director @Vibeset Technologies Inc
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WORK HISTORY
Managing Director @Vibeset Technologies Inc
Kamloops, BC, CA
Lead AI strategy, workflow automation, and implementation across enterprise, institutional, and growth-stage environments. My work focuses on identifying operational bottlenecks, designing scalable AI solutions, and deploying systems that remain adaptable over time rather than becoming short-lived implementations.At VibeSet, I oversee client strategy, solution architecture, technical delivery, and implementation planning across AI initiatives spanning automation, analytics, conversational AI, and applied AI systems. I also manage technical collaborators and contribute to grant-backed innovation initiatives with academic and industry partners.Key areas of work:AI workflow automationApplied AI systemsConversational and agent-based AIMulti-tenant software platformsProcess redesign and efficiency optimizationResearch-to-implementation strategy
EDUCATION
GEMS Education
High School Diploma
Thompson Rivers University
Bachelor's degree, Computer Science
Manipal Academy of Higher Education - MAHE, Dubai
Bachelor of Technology - BTech, Computer Science
ABOUT SHAMS K.
I work at the intersection of applied AI research, institutional strategy, and real-world implementation. My experience spans AI systems development, workflow automation, institutional AI adoption, and executive-facing strategy. At Thompson Rivers University, I have contributed to applied AI research, production systems, and broader conversations around how AI can create measurable value across teaching, operations, and student support. Through this work, I have collaborated with academic, technical, and executive stakeholders on practical approaches to AI adoption, training, and long-term capability building. I also serve as Managing Director at VibeSet, where I lead AI strategy and implementation across enterprise, institutional, and growth-stage environments. My work focuses on identifying operational bottlenecks, determining where AI, automation, or process redesign can create meaningful value, and implementing solutions that remain scalable, interoperable, and adaptable over time. A core strength of mine is translating AI from concept into execution. I care less about hype and more about building systems that work in practice, support real users, and continue to evolve instead of becoming outdated after a few years. My background includes applied machine learning research, production software systems, AI education, workflow automation, and community-facing technology initiatives. I am especially interested in applied and responsible AI, institutional AI adoption, AI learning pathways, and building systems that create durable value. If you are working on practical AI, institutional innovation, or research-to-implementation initiatives, feel free to connect.
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