Ameed Shehayeb

Curated specialized training datasets for Large Language Models (LLMs), directly addressing client-specific domain requirements and enhancing model accuracy.

Designed and implemented detailed rubrics to serve as benchmarks, significantly improving the precision and effectiveness of LLM fine-tuning processes.

Instructed and mentored over 100 students in Life Cycle Analysis lab components, ensuring comprehension of complex methodologies and software applications.

Managed comprehensive course logistics, including project oversight, student communication, and material preparation, fostering an effective learning environment.

Evaluated academic submissions and course projects, providing constructive feedback that contributed to student success and learning outcomes.

Deployed tailored AI prompts to proactively manage WhatsApp Business quality ratings, successfully mitigating the risk of number downgrades during high-volume periods.

Developed and trained GPT-3 chatbot prompts for critical customer journeys, improving clarity and reducing agent escalations by 15%.

Analyzed hundreds of chat transcripts using Tableau and custom dashboards to identify and resolve user confusion, repetitive replies, and broken conversational flows.

Presented data-driven insights on chatbot effectiveness to stakeholders, informing strategic improvements that enhanced operational efficiency and user satisfaction.

Developed comprehensive pedagogical materials for the GCH1220 course, focusing on Environmental Design & Life Cycle principles.

Successfully introduced Life Cycle Assessment (LCA) concepts to first-year chemical engineering students, enhancing their foundational understanding of sustainable practices.

Supported academic operations by aiding in exam invigilation and managing logistical requirements for course assessments.