Built a robust lending infrastructure using Domain-Driven Design (DDD) principles and patterns featuring idempotent transaction processing and an automated interest engine. Implemented a state-machine audit system ensuring 100% lifecycle traceability and high concurrency through a decoupled Service-Repository architecture.

Engineered a secure, test-driven API infrastructure utilizing atomic transactions and a hybrid RBAC/PBAC security model, ensuring granular access control and system reliability through an automated testing suite for complex financial logic.

Architected and automated CI/CD workflows using GitHub Actions and Turborepo, implementing remote caching to eliminate redundant build tasks. Optimized the global build-to-deployment pipeline from 41 minutes to under 5 minutes (an 87% reduction), ensuring zero-downtime releases to Cloudflare Workers and significantly reducing CI/CD compute overhead.

Architected and deployed a specialized crochet e-commerce platform using TypeScript, Next.js, and Supabase, migrating the business from fragmented social media sales to a centralized, high-performance web solution.

Built a disaster management system for a local Barangay, featuring centralized incident logging and optimized data workflows to ensure high availability and rapid information dispatch during disaster scenarios.

Led my university team to secure 1st Runner-Up in the IoT Category at the 14th IT Skills Olympics, showcasing our innovative Smart Waste Management System that integrates real-time monitoring and efficient data handling to revolutionize waste collection processes.

Engineered an IoT-enabled waste management system for Arcovia City featuring real-time monitoring, GPS tracking, and object detection via Raspberry Pi, optimized collection routes and reduced operational costs using MQTT and WebSockets.

Reduced IoT module startup time by 90% (from several minutes to <10 seconds) by restructuring the boot sequence with async/await and threaded execution, significantly improving system uptime and hardware reliability.

Architected a custom MCP (Model Context Protocol) Server that exposes Binspire API data as executable tools for LLMs, enabling automated auditing, issue resolution, and historical tracking.

Integrated Binspire AI Agent with multi-model orchestration capabilities, leveraging the MCP server to perform autonomous data analysis and data-driven decision-making for waste management logistics.

Implemented QR-code verification for collection logs, ensuring 100% accountability in waste retrieval activities through a secure, sensor-driven validation pipeline.

Solved 3 out of 4 problem sets in my university Java programming contest during the first year.

Contributed to the Model Context Protocol (MCP) specifications within the LangChain ecosystem, specifically defining HTTP transport mechanisms for server-side weather integrations to ensure predictable request-response cycles.

Engineered a controlled data flow pattern for search systems, implementing URL-persisted state using nuqs. This ensured strict synchronization between the client-side state and backend query parameters, improving the reliability of filtered data fetching.

Developed centralized utility layers in TypeScript to standardize data transformation and category formatting. This reduced technical debt by abstracting business logic away from the presentation layer and ensuring data consistency across multiple services.

Diagnosed and resolved synchronization conflicts between third-party geospatial libraries and application state. Improved system stability by managing event propagation and removing redundant control logic.

Authored and refined technical documentation for core AI orchestration frameworks, focusing on clarifying server-to-server communication headers and setup procedures for global developers.

Wrote my first line of code.