Stephen Craig

Developed scalable web applications with React, Next.js, and TypeScript, improving performance and ensuring type safety. Leveraged Supabase for backend services, handling database operations and user authentication, which streamlines data management. Designed automated workflows and integrated third-party services using N8N, reducing manual processing time for internal tasks. Collaborated in an Agile team using Jira for task tracking and Git/GitHub for version control, enabling faster delivery of features. Created the blog page to improve SEO and update users on the latest news in the job market.

Engineered core AI logic for a marketing automation platform using BullMQ for high-volume message queuing, enabling thousands of messages per minute and reduced lead scoring latency. Deployed automated multi-channel workflows (email, phone, DM, LinkedIn) to streamline lead discovery and engagement for sales teams. Architected a full-stack application using Next.js and Node.js/Express for a responsive lead management experience. Implemented Docker containerization to streamline development and production deployment cycles. Enhanced the AI lead-discovery engine by designing data ingestion and ranking systems to prioritize companies based on user criteria.

Optimized Emergency Management System front-end with HTML, JavaScript, and Tailwind CSS, reducing map UI latency by 70%. Collaborated with a Flask API team to architect REST endpoints and JSON validation, cutting integration defects by 50%. Led iterative UX sprints and testing to reduce system errors by 40% and ensure stability under peak loads. Built Sun Bucks, a case-management platform automating eligibility and bulk application processing for California school districts. Engineered a React Native app for the Williamsburg African American Trail featuring offline caching and guided audio tours. Deployed applications on AWS using EC2, S3, and IAM to ensure scalable and secure cloud environments.