Tomasz Puzio
Optimizing AI for a Greener, Smarter Future | Data Science
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Tomasz is a second-year Computer Science student at Ontario Tech University, passionate about bridging the gap between theoretical knowledge and real-world application. He has hands-on experience in software development and sustainable AI, contributing as a developer to SUSTAIN—an energy-efficient AI wrapper designed to reduce token usage and optimize AI queries.
His interests lie in data-driven problem-solving, AI research, and the ever-evolving role of technology in shaping the future.
SUSTAIN: Building Environmentally-Friendly AI
Artificial Intelligence is powerful, but it’s also energy-intensive. Every AI query consumes compute power, contributing to environmental impact. SUSTAIN is an environmentally-friendly, token-optimized AI wrapper designed to reduce compute costs and increase efficiency.
By intelligently filtering irrelevant words from user prompts, SUSTAIN minimizes token usage, reducing energy consumption while maintaining high-quality AI-driven results. The result? Faster responses, lower API costs, and a reduced carbon footprint.
In this session, we’ll explore:
✅ How AI token usage impacts energy consumption
✅ The mechanics of SUSTAIN’s Token Optimization Pipeline
✅ Techniques to optimize AI queries for efficiency
✅ A live demonstration of SUSTAIN in action
✅ The benefits of deploying AI applications on Azure for sustainability
Join us to learn how developers, enterprises, and researchers can leverage AI responsibly—without sacrificing performance.
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