David Marshall

• Led development of the Foodcare System, designing the React frontend and Laravel/Golang backend to manage large-scale health and nutrition data across 200+ organizations. • Engineered a Social Media Feed platform with Angular, Node.js, and Firebase supporting live messaging, streaming, and post interactions that increased engagement by 38%. • Built an AI Content Studio using Next.js, TypeScript, and OpenAI APIs that cut manual content creation time by 44% and tripled average daily content output. • Architected a containerized video processing pipeline with Node.js, Docker, FFmpeg, and AWS CloudFront that reduced encoding time by 64% and cut infrastructure costs by 28%. • Developed a real-time collaborative editor using GraphQL, Prisma, and Redis supporting over 250 concurrent users with sub-150ms sync latency. • Built a live video broadcasting service using Angular and AWS CloudFront scaling to 5,000 viewers with under-three-second start latency. • Created a personalized recommendation engine in Python and PostgreSQL that boosted click-through rates by 88% and improved retention by 27%. • Delivered unified authentication and authorization using NestJS and AWS Cognito, consolidating legacy flows and reducing access-related incidents by 67%. • Automated media ingestion pipelines using AWS Lambda and SQS handling 12,000 assets/hour with near-zero queue delays. • Established CI/CD pipelines with GitHub Actions and Kubernetes reducing deployment time by 80% and improving release reliability by 58%. • Mentored junior developers in system design, React state management, and containerization best practices, improving sprint velocity by 21%.

Engineered HIPAA-compliant healthcare analytics systems using React, Next.js, Node.js, and PostgreSQL on AWS with 92% uptime; built a Social Media Analytics Platform using Angular, Golang, and Firebase; designed and deployed Golang and Python microservices on Kubernetes (EKS) handling over 1M daily API requests; built real-time analytics dashboards with FastAPI and Django; implemented gRPC-based communication between distributed Go services; automated end-to-end CI/CD pipelines using Terraform, Docker, and GitHub Actions; integrated GraphQL APIs with Redis caching; implemented AWS KMS encryption, IaC policies, and automated testing workflows; mentored a 7-person team.

Migrated a Financial Analytics platform from monolith to microservices using Java Spring Boot, .NET Core, and Docker on AWS and Azure, reducing infrastructure costs by 30% and improving uptime to 90.7%. Built Java and .NET services for payment and identity management systems supporting 50,000+ concurrent sessions with 88% uptime. Developed React and Angular frontends backed by GraphQL APIs, reducing load time by 50% and engagement metrics by 30%. Implemented REST and GraphQL APIs with OAuth2 and JWT to achieve SOC2 compliance. Designed ETL pipelines in Python and Node.js using AWS Lambda, PostgreSQL, and SQS to process high-volume data feeds, cutting latency by 80% and enabling near real-time analytics. Automated cloud provisioning and deployments using Terraform, Azure DevOps, and Kubernetes, reducing setup time from an hour to 20 minutes and deployment failures by 40%. Enhanced testing reliability with Jest, Cypress, and contract-based API validation, lowering regression cycles by 60