Dilara Leamen
Optimizing AI for Sustainability & Efficiency | Cloud & NLP Enthusiast
Toronto, Canada
Actions
Dilara is a Computer Science student passionate about the intersection of AI, cloud computing, and sustainability. She specializes in full-stack development, cybersecurity, and AI optimization, with hands-on experience building scalable solutions on Azure & AWS.
As SUSTAIN’s project leader, an energy-efficient AI wrapper that reduces token usage and optimizes AI queries, Dilara focuses on making AI more sustainable without compromising performance. She has also worked on projects in machine learning, cybersecurity, and cloud-based system optimization, including cloud security research for Radiation Detection Systems.
In addition to developing impactful AI solutions, Dilara is an advocate for tech-driven sustainability initiatives and a co-founder of PurplWav, a global epilepsy awareness platform.
Area of Expertise
Topics
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.
Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.
Jump to top