Matthew Marks

Led backend engineering for a Node.js serverless AWS GovCloud environment supporting an AI-driven contracting platform. Built core AI infrastructure including RAG and AI orchestration systems (RAG-enabled document retrieval and context-aware responses) using OpenSearch and SageMaker, and supported AI functionality across RFP generation, document evaluation, and market research automation. Designed event-driven data pipelines using EventBridge, DynamoDB, and AWS CDK to reliably process large-scale acquired documents. Owned scalability, security, and compliance for a GovCloud-hosted system aligned to federal security standards while maintaining performance under LLM workloads, and contributed to LLM fine-tuning and test coverage improvements using Playwright.

Contributed to AWS Community Builders by creating technical content around AWS Amplify, AppSync, and Elasticsearch to help frontend engineers ramp into backend development with AWS. Built full-stack mobile and web applications using AWS Amplify, Node, React, and GraphQL, sharing insights with the AWS community. Produced tutorials on topics such as geo-location search, Elasticsearch integration, and efficient database querying, collaborated with industry experts, and participated in early access programs for new AWS technologies.

Freelance AWS consultant partnering on AppSync/Amplify projects with React/React Native. Delivered secure, reliable APIs using AWS AppSync, built React Native apps and deployment pipelines, handled offline-first payment flows with Stripe Connect integration, and sent app notifications to users. Designed and deployed backend systems using Node.js, PostgreSQL, DynamoDB, and Elasticsearch with an emphasis on performance and scalability, optimizing database access patterns and infrastructure for high-growth environments.