Jordan Sanders

- Spearheaded the development and integration of an associate-facing chatbot, optimizing food safety communication by providing real-time responses to queries about food handling, preparation, and compliance with regulatory standards. - Architected a scalable, modular document ingestion pipeline, enhancing cloud synchronization and data processing capabilities; implemented source-specific preprocessing and advanced segmentation strategies, significantly improving database search functionality and maintenance. - Led the development and deployment of a retrieval augmented generation system for the store document management support team, providing immediate answers to over 70% of associate queries and reducing support ticket turnaround time by approximately 85%. This was the organization's first production deployment of a generative AI solution, achieving annual savings of $280K. - Integrated document management feedback and usage data into a comprehensive LLM Analytics Dashboard, optimizing user experience and operational efficiency. - Mentored a diverse team of junior and senior data scientists on career development, continuous learning opportunities, and advanced system design, enhancing team expertise and contributing to successful project outcomes. - Advocated for responsible AI implementation by promoting ethical guidelines and best practices, protecting the rights and privacy of customers and associates.

- Engineered multiple high-impact prototypes, including the GenAI Starter Kit prototype, which became the de facto launching point for LLM experimentation, prototyping, and deployment within the organization, enhancing tool development and data analysis processes. - Championed advanced experimentation by continuously refining prototypes and adopting cutting-edge technologies to drive project innovation. - Developed a prototype topic analysis tool, reducing dependency on costly external vendors by $60K per user per year; conducted critical data analyses that informed monthly executive officer presentations, influencing key business decisions. - Contributed significantly to the technical development and utilization of an internal topic clustering tool, incorporating active optimization techniques to enhance topic analysis and generate valuable insights through metric extraction and data visualization.

- Designed, trained, and deployed advanced transformer models to identify high-risk scenarios, significantly enhancing protection measures for pharmacy customers. - Contributed to the configurable and reusable lightweight redaction pipeline for personally identifiable information (PII), ensuring robust data privacy with over 97% accuracy on supported PII types while maintaining flexibility across various applications. - Enhanced the social media ingestion pipeline with fuzzy deduplication and extractive summarization techniques, reducing SME review times by up to 95%.