Projects

Interactive AI Smart Display

For my Engineering Capstone project, my team and I set out to bring AI directly into daily life through an interactive smart mirror. Inspired by the potential of large language models, we built a device that feels personal and engaging, delivering tailored content like weather forecasts and upcoming calendar events right at your fingertips—or rather, at your voice command. By integrating real-time data with sophisticated voice recognition and locally-run AI, our smart mirror offers an intuitive user experience. We fine-tuned text-to-speech and speech-to-text modules to respond swiftly and efficiently, ensuring the mirror not only works smoothly but feels naturally conversational.

 

Semi-Autonomous AI Vertical Farm

As a Project Manager at QMIND, Canada's largest organization for Artificial Intelligence, my team and I developed a Semi-Autonomous Vertical Farm aimed at revolutionizing urban agriculture through AI-driven solutions. My primary responsibility was to guide our multidisciplinary team through the design, development, and deployment phases of the project. We focused on leveraging artificial intelligence to significantly enhance sustainable agricultural practices. By integrating cutting-edge sensor networks and sophisticated AI algorithms, we automated critical processes to plant growth. 

Throughout the project, I acquired invaluable experience in leadership, fostering team synergy, navigating technical project complexities, and enhancing communication strategies. This role allowed me to deepen my understanding of sustainable technologies, precision agriculture, and automation systems, broadening my technical expertise and appreciation for collaborative innovation. Our team's efforts culminated in a successful presentation of our findings at the prestigious Canadian Undergraduate Conference on Artificial Intelligence in 2024, where we shared our vision for smarter, more sustainable agricultural solutions with the broader academic and professional AI community.


Proposal and Project Reference Database

At MGA Engineering, I designed and deployed a robust Microsoft Access database to enhance the efficiency and accuracy of managing engineering projects and proposals. By structuring extensive project data—categorized by type, location, cost, and other key attributes—I significantly streamlined information retrieval, cutting down research time during the design phase. Collaborating closely with multidisciplinary teams, I ensured the database functionality directly supported engineers' real-world needs, showcasing my ability to bridge technical solutions with practical applications and improve overall productivity.

Project Management and Technical Analysis Program for Conveyor Systems

During my tenure at MGA Engineering, I developed an Excel-based program integrated with VBA to automate and streamline cost estimation for conveyor system projects. This tool reduced analysis time by 50%, dramatically enhancing workflow efficiency and enabling quicker, more informed decision-making. Additionally, by leveraging VBA scripts to automate data extraction from specialty software directly into Excel, I significantly accelerated the transfer of technical information. This experience allowed me to deepen my expertise in automation and project management, reinforcing my skills in creating user-centric engineering solutions.