Mark Marsella
Full Stack Ai Claude Code Software Engineer @Wood Mackenzie
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WORK HISTORY
Full Stack Ai Claude Code Software Engineer @Wood Mackenzie
AI-Enhanced Delivery: Utilizing AI agents to automate boilerplate and complex refactoring, significantly increasing sprint velocity while applying 20 years of \"human-in-the-loop\" experience to ensure architectural integrity.Full-Stack Orchestration: Architecting scalable, end-to-end applications using React and TypeScript on the frontend, with high-performance C#(.NET) and Node.js microservices on the backend.Modern API Design: Designing and implementing efficient data layers using GraphQL, optimizing for type safety and reduced network overhead in complex distributed systems.Cloud-Native Architecture: Deploying and managing resilient, auto-scaling infrastructure on AWS, ensuring high availability and cost-efficient cloud operations.Core Tech StackLanguages & Frameworks: C#(.NET 8+), TypeScript, Node.js, React.Data & API: GraphQL, Apollo, RESTful Web APIs, Entity Framework.Cloud Infrastructure: AWS (Lambda, EC2, S3, RDS, CloudFormation).AI Enablement: Claude Code, Cursor, and custom LLM-integrated development environments.
EDUCATION
University of Strathclyde
Bachelor's degree, Computer Science
SKILLS
ABOUT MARK MARSELLA
Senior Software Architect & AI-Augmented EngineerWith 20 years of experience across the full software development lifecycle, I specialize in building high-performance enterprise systems at the intersection of veteran architectural wisdom and cutting-edge AI execution.My current focus is redefining the standard of engineering productivity by integrating AI agents like Claude Code into the development process. I leverage these tools not just to write code faster, but to build more resilient, scalable, and maintainable solutions in a fraction of the traditional time.Core ExpertiseFull-Stack Development: Expert-level mastery of C#, React, and TypeScript, building seamless integrations between modern frontends and robust Node.js or.NET backends.AI Orchestration: Pioneer in AI-native development workflows, using LLM-based tooling to automate technical debt reduction, complex refactoring, and rapid feature prototyping.API & Data Architecture: Extensive experience designing type-safe, efficient data layers using GraphQL and RESTful patterns to support complex distributed systems.Cloud Infrastructure: Deep proficiency in AWS, architecting cloud-native solutions that prioritize security, scalability, and cost-efficiency.The Value of 20 YearsIn a landscape increasingly influenced by AI-generated code, my two decades of experience serve as the essential filter for quality and security. I provide the strategic oversight necessary to ensure that AI-accelerated output adheres to rigorous engineering standards, from system design and security protocols to long-term maintainability.Technical SnapshotLanguages: C#, TypeScript, JavaScript, SQL.Frameworks: React, Node.js.NET Core.API/Middleware: GraphQL, Apollo, Entity Framework.Cloud: AWS (Lambda, RDS, S3, EC2, CloudFormation).AI Tools: Claude Code, Cursor, LLM-integrated CLI.Clients/EmployeesWood Mackenzie Homes England, Lockheed Martin, Lloyds/SWIP, Police Scotland, Scottish Courts, Dell, RBS, Standard Life and the NHS.
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