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- Richmond Hill, Ontario, Canada
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Richmond Hill, Ontario, Canada
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Richmond Hill, Ontario, Canada
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- Financial modeling Fundraising Law and policy Lead generation Sales strategy
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Achievements
Recent projects

UX/UI Design and User Experience Optimization
The objective of this project is to enhance the user interface and overall user experience of our platform. Students will analyze current design challenges, conduct user testing, and deliver wireframes, prototypes, and recommendations to improve accessibility, navigation, and visual consistency.

AI Assistance Prototype Development with Machine Learning
The main objective of this project is to build an AI assistance prototype using machine learning. Students will work on tasks such as dataset preparation, intent recognition, and model training. The goal is to deliver a functional prototype, evaluate performance, and document the development process.

Cleantech Database Design and Implementation
The goal of this project is to design and implement a scalable database that can store, organize, and retrieve public cleantech company data. Students will practice skills in database design, coding (SQL/NoSQL), and query optimization. By the end, the project will deliver a functional database prototype with documentation, preparing the foundation for future integration with AI and CRM systems.

Designing a Data Schema for AI-Driven Greenhouse and Vertical Farming LED Solutions
Designing a comprehensive data schema and framework for AI-driven LED lighting optimization in greenhouses and vertical farming, with the goal of standardizing agronomic, operational, and environmental inputs into an AI-ready structure. This framework will enable accurate simulations of energy use, crop growth, yield performance, and ROI outcomes, creating a foundation for grower-friendly decision-making tools. By mapping input variables to measurable outputs, the project will guide growers in selecting the most effective lighting solutions that balance productivity, sustainability, and cost-efficiency across diverse controlled-environment agriculture settings.