I am a Senior Backend Engineer with extensive experience in Python, Node.js, PHP, Java, and .NET technologies. Over the years, I have developed scalable APIs, event-driven systems, and cloud-native applications that support high-volume e-commerce transactions, real-time healthcare workflows, and enterprise automation. My expertise lies in solving complex backend problems, enhancing system reliability, and delivering production-ready solutions across cloud platforms such as AWS and Azure.
I have a strong background in building backend services that automate document ingestion, validation, and workflow processing for compliance systems in healthcare and real estate. I am skilled in developing asynchronous processing systems using RabbitMQ and cloud queues to ensure stable and efficient operations for time-critical tasks.
My experience includes designing and implementing CI/CD pipelines using Azure DevOps, Jenkins, and Docker, which have significantly improved deployment reliability and reduced release errors. I am also proficient in enhancing observability through tools like Azure Monitor, Prometheus, and Datadog to enable fast issue detection in compliance-heavy environments.
I have contributed to building fraud analysis engines and event-streaming pipelines with Kafka and RabbitMQ, reducing fraud detection times drastically and supporting millions of daily transactions. I am adept at creating secure REST and gRPC APIs for payment routing, identity verification, and fraud scoring across global banking partners.
In addition to backend development, I have experience with frontend technologies such as React, Vue.js, and REST APIs, enabling me to deliver comprehensive client-facing portals. I am committed to continuous improvement and modernization of deployment processes using GitHub Actions, Docker, and Infrastructure as Code principles.
I hold a Bachelor of Science degree in Information Technology Entrepreneurship from Ateneo de Manila University. I am passionate about leveraging technology to build reliable, scalable systems that drive business success and improve operational workflows.
• Impact: Built an automated validation engine that reduced manual review by 75%, significantly improving throughput across healthcare and real-estate documentation flows.
• Built backend services using Python, Node.js, and PHP to automate document ingestion, validation, and workflow processing for healthcare and real-estate compliance systems.
• Developed Azure Functions and Data Factory ETL pipelines to improve data accuracy, reduce manual workload, and accelerate healthcare claims and property verification workflows.
• Implemented asynchronous processing with RabbitMQ and cloud queues, ensuring stable high-volume operations for time-critical review and approval tasks.
• Designed CI/CD pipelines using Azure DevOps, Jenkins, and Docker, increasing deployment reliability and reducing release errors by 60%.
• Enhanced observability using Azure Monitor, Prometheus, and Datadog, enabling fast issue detection in compliance-heavy environments.
• Impact: Delivered the fraud analysis engine powering every production transaction check.
• Developed backend systems using Java (Spring Boot), Node.js, and PHP microservices to support high-volume e-commerce transactions and real-time payment processing.
• Built event-streaming pipelines with Kafka and RabbitMQ, reducing fraud detection time from minutes to sub-10 seconds and supporting millions of daily transactions.
• Implemented secure REST and gRPC APIs for payment routing, identity checks, and fraud scoring across global banking partners.
• Automated deployment pipelines with Jenkins, Terraform, and Docker, ensuring consistent, production-grade builds and releases.
• Conducted performance optimization via profiling, caching strategies, and SQL tuning to maintain sub-100ms latency for critical payment workflows.
• Impact: Built the real-time event backbone that powers shipment tracking, medical delivery workflows, and real-estate monitoring systems.
• Led backend development using Python, Node.js, PHP, Java, and .NET, delivering scalable systems for logistics, healthcare operations, and real-estate automation.
• Designed real-time messaging pipelines using RabbitMQ and Kafka, enabling 70K+ daily updates for shipment tracking, medical order routing, and property activity feeds.
• Built and optimized MySQL/PostgreSQL schemas (indexing, partitioning, query tuning), improving data access for inventory systems, healthcare records, and real-estate search listings.
• Developed dashboards and APIs using React, Vue.js, and REST, powering client-facing portals in healthcare, e-commerce, and enterprise property management.
• Modernized CI/CD using GitHub Actions, Docker, and IaC principles, improving deployment reliability across staging and production environments.
• Built backend features using Python, PHP (Laravel), and .NET, contributing to systems supporting healthcare reporting and internal analytics.
• Supported ETL pipelines using Azure Data Factory and Azure Functions, improving data consistency across ERP, CRM, and HR systems.
• Assisted in API development, SQL optimization, and documentation to ensure stable and reliable data flows.
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