Oliver Dionisio Fernandez

Built AI-powered accounting automation workflows using n8n, Make.com, and LLM integrations (OpenAI and Claude). Developed scalable backend services with Python (FastAPI) and Node.js microservices. Created responsive Next.js/React dashboards to monitor workflows and generate business reporting. Integrated REST APIs, webhooks, and SaaS platforms to support enterprise accounting automation, and designed PostgreSQL databases plus ETL pipelines to improve reporting accuracy and operational efficiency. Automated repetitive accounting operations, reducing manual workloads and increasing efficiency by 65%.

Developed AI-powered accounting automation workflows using n8n, Make.com, OpenAI, and Claude; built scalable Python FastAPI and Node.js microservices; created responsive Next.js/React dashboards for monitoring and reporting; integrated REST APIs, webhooks, and SaaS platforms; designed PostgreSQL databases and ETL pipelines; automated repetitive accounting operations reducing manual workloads by 65%.

• Designed and implemented AI-powered automation workflows using make.com and n8n to streamline accounting operations and reduce manual processing workloads. • Developed scalable backend systems using Python (FastAPI) and Node.js to support AI automation applications and enterprise-level workflow orchestration. • Built responsive frontend applications using Next.js and React.js for internal dashboards, workflow monitoring, and AI-driven reporting systems. • Integrated OpenAI and Claude APIs into automation pipelines to enable intelligent document processing, summarization, and financial reporting automation. • Designed and optimized large-scale PostgreSQL database architectures supporting high-volume transactional systems and AI-driven analytics workflows. • Developed AI automation applications that connect multiple business systems using REST APIs, webhooks, and third-party SaaS integrations. • Built ETL pipelines and data processing systems using Python to improve accuracy, consistency, and efficiency of business reporting workflows. • Improved operational efficiency by 65% through end-to-end automation of repetitive accounting and administrative processes using AI systems.