Building enterprise-grade integration platforms, AI-powered automation systems, and headless CMS architectures for SaaS products.

Senior Software Engineer specializing in scalable platforms, intelligent automation, and production-grade infrastructure.

I design systems built for:

• Reliability

• Performance

• Scalability

• Long-term maintainability

My work spans full-stack applications, cloud infrastructure, headless content platforms, and AI-powered automation systems.

Many implementations are delivered under private contracts and NDA-protected environments.

• Designed production systems processing high-volume structured datasets
• Built real-time infrastructure for logistics and operational tracking
• Developed AI pipelines for automated document and data transformation
• Delivered enterprise headless CMS architectures for high-traffic platforms
• Optimized processing latency and system reliability in distributed environments
• Architected scalable platforms deployed in cloud-native production environments

Builder.io · Webiny CMS Structured content modeling · Component-driven rendering · Content delivery optimization

React · Next.js · TypeScript Node.js · REST APIs · GraphQL

AWS · Docker · Serverless environments Distributed systems · Production deployment

Python · PHP · Async processing pipelines

Databases: MongoDB · DynamoDB · PostgreSQL · MySQL

Flutter · Cross-platform architecture

AI is treated as a system capability embedded in infrastructure, not a user-facing feature.

• LLM integration (OpenAI, Claude)

• Structured prompt pipelines

• Automated data extraction

• Large dataset processing

• AI workflow orchestration

• High-volume Excel data processing systems

Production implementations include AI-assisted transformation of large structured datasets and automated decision-support pipelines.

Experience delivering production systems across logistics, financial processing, content infrastructure, and AI-driven data environments.

Projects include large-scale data processing platforms, real-time operational systems, and enterprise CMS architectures.

Most implementations are delivered under private contracts and non-disclosure agreements.

Systems delivered across:

• Content infrastructure platforms

• Logistics & operational systems

• Financial processing environments

• Real-time tracking platforms

• Data transformation pipelines

• Intelligent automation systems

Some implementations are developed under non-disclosure agreements. Technical details are generalized to protect client confidentiality.

• Production-grade software platforms
• AI-powered data processing systems
• Cloud-native distributed architectures
• Headless CMS content infrastructures
• High-performance full-stack applications
• Intelligent automation pipelines

Focused on reliability, scalability, and long-term operational stability.

Universidad Rafael Belloso Chacín (URBE)
Bachelor’s Degree in Computer Engineering
2017 - 2021

Software Engineering · Systems Architecture · Data Structures · Distributed Systems

_{© Carmen Cecilia León — Software Engineer}