Cullen Watson

Built a Next.js analytics dashboard providing near real-time campaign insights and designed fault-tolerant microservices with REST APIs, increasing throughput by 30%. Optimized BigQuery and ClickHouse queries across 100M records, improving backend efficiency by 30–40%.

Delivered AI-first full-stack applications using LLMs and retrieval systems, integrating OpenAI, Claude, Hugging Face, and AWS Bedrock into production workflows. Built vector-search and data pipeline systems and deployed scalable platforms on AWS/Azure with Docker, Kubernetes, and Terraform.

Delivered AI-first full-stack applications using LLMs and retrieval systems, integrating OpenAI, Claude, Hugging Face, and AWS Bedrock into production workflows. Built vector-search and data-pipeline infrastructure, and deployed secure AWS/Azure platforms with Docker, Kubernetes, and Terraform.

Built a real-time price tracking system for 1,800 ETFs to support institutional monitoring and faster market visibility. Orchestrated a daily data pipeline covering 1,600 ports to improve reliability for large-scale vessel data workflows.

Improved a Java-based account purge service, reducing processing time by 50% and increasing operational efficiency. Increased team automation by 15% by implementing a Jenkins service for company-wide usage.

Resolved full-stack platform issues using TypeScript, Python, and Kubernetes to improve stability and user experience. Implemented messaging and email functionality with Kafka-backed Python microservices.

Migrated 300 tenants to the v3 platform 30% faster while maintaining data integrity and minimal downtime. Revamped frontend and backend architecture to improve scalability (reducing platform errors ~20%) and optimized database performance to cut app load time by 70%.

Led C# API integration for Hyatt Hotels, improving booking system connectivity by 30%. Deployed two API endpoints to enhance interoperability and performance across Sabre and Oracle systems.

Developed responsive React and Next.js web applications, improving user engagement by 30%. Built backend APIs and CI/CD pipelines using AWS and Docker, improving client-server communication efficiency by 30% and increasing deployment speed and reliability.

Pursuing an M.S. in Artificial Intelligence. Built an analytics dashboard and designed scalable microservices and RESTful APIs during graduate study.

Earned a B.S. in Statistical Science from Southern Methodist University.

Earned a B.A. in Computer Science from Southern Methodist University.

Earned a B.B.A. in Finance from Southern Methodist University.