Alex Bryant

Led a multi-disciplinary team to migrate a legacy on-premise infrastructure to a modern, scalable cloud solution on AWS. This involved re-architecting applications for the cloud, implementing a CI/CD pipeline with Jenkins and Docker, and establishing robust monitoring with Prometheus and Grafana. The project resulted in a 40% reduction in operational costs and a 75% improvement in deployment frequency.

Directed the end-to-end rewrite of a high-traffic e-commerce platform using a microservices architecture with Node.js and React. We implemented a headless CMS for content management, integrated with Stripe for payments, and built a recommendation engine using Python and scikit-learn. The new platform increased conversion rates by 20% and supported a 3x increase in traffic during peak seasons.

Developed and deployed an AI-powered chatbot to handle Tier-1 customer support inquiries. The chatbot was built using Google Dialogflow and integrated with the existing CRM system. It leveraged Natural Language Processing (NLP) to understand user intent and provide instant, accurate responses, reducing agent workload by 30% and improving customer satisfaction scores.

Designed and built a real-time data analytics dashboard for a logistics company using React, D3.js, and a backend powered by Python (Flask) and a WebSocket server. The dashboard visualized key performance indicators (KPIs) for fleet management, delivery times, and fuel efficiency, enabling data-driven decision-making and identifying opportunities for operational improvements.