Shubhneet Sandhu
Biography
As Data and AI Analyst, Shubhneet Sandhu bridges the gap between cutting-edge AI technology and real-world business impact within Georgian College’s Research and Innovation department. With a background spanning software engineering, AI, machine learning, data analytics, and project management, she partners with industry and academic collaborators to design and build AI-powered solutions that solve genuine operational challenges.
Shubhneet brings hands-on technical depth across applied AI, software development, and data analytics. She designs and builds intelligent systems, develops full-stack applications, and conducts feasibility assessments that help industry partners understand what is possible and how to get there. Through these engagements, she helps organizations adopt emerging technologies in ways that create real operational value. She also oversees a portfolio of Big Data Analytics, Artificial Intelligence, and Computer Science student projects at Georgian College, guiding teams through problem-solving, critical thinking, and the practical application of technology to real-world challenges.
Research interests and areas of expertise
- Agentic AI systems and LLM-powered automation
- Natural language processing and applied machine learning
- Retrieval-augmented generation and document intelligence
- Data engineering, ETL pipelines, and Medallion architecture
- Full-stack application development and system integration
- AI feasibility assessment and technology adoption strategy
- Big Data Analytics research and project management
- Industry-academia partnerships and applied research