Johnathan R. Miles

Led an 8-member cross-functional team in the end-to-end development of an AI-powered SaaS platform for e-commerce personalization, scaling to serve over 1 million monthly users.

Developed and fine-tuned a custom Large Language Model (LLM) on extensive retail datasets, significantly improving product recommendations by 35% and enhancing user engagement.

Engineered and implemented a Retrieval Augmented Generation (RAG)-based knowledge assistant, which reduced customer service response times by 60% through intelligent query resolution.

Collaborated with product managers to design and integrate advanced AI agents for automated competitor analysis and lead generation, streamlining business intelligence workflows.

Architected and deployed highly scalable AI solutions using AWS, Kubernetes, and Docker, ensuring robust performance, high availability, and cost-efficiency for a high-traffic platform.

Designed and launched a sophisticated AI chatbot for enterprise software, successfully handling 80% of routine client queries and significantly improving support efficiency.

Developed and maintained robust full-stack applications using React, Node.js, and PostgreSQL, ensuring high performance, seamless user experiences, and data integrity.

Collaborated closely with data scientists to train and deploy advanced deep learning models for speech recognition, contributing directly to core product functionalities.

Optimized critical machine learning pipelines and infrastructure, resulting in a 25% reduction in training costs while maintaining high model accuracy and performance standards.