Andrew Long

Experienced full-stack and AI engineer leading the design, development, and deployment of AI-augmented end-to-end software systems. Built scalable microservices, integrated ML models into production pipelines, and improved data quality, model accuracy, and system reliability. Collaborated with product, data, and infrastructure teams to drive impact, optimize performance, and deliver user-centric solutions at scale.

Architected and developed scalable backend services and APIs, enabling reliable data flow and high-performance model serving across distributed systems. Built production-grade AI-enabled features and data pipelines, supporting millions of users across iOS, Android, and web platforms. Implemented end-to-end ML workflows, including model training, evaluation, and real-time inference, with robust monitoring and scalability in mind. Led continuous integration/continuous deployment (CI/CD) pipelines and cloud-native deployments to deliver rapid, high-quality updates.

Built a genetic AI system using LLMs and LangChain to automate customer feedback synthesis and product insight generation across internal product workflows. Designed evaluation harnesses, embedded motif testing, and agent behaviors through research spikes to validate prompting strategies and tool orchestration prior to production deployment.