I’m a software engineer with 5 years of personal experience focused on full-stack development, cloud-native backend systems, and applied AI. I build scalable web and mobile applications, event-driven systems, and AI-powered workflows using TypeScript, Python, React, Next.js, React Native, NestJS, FastAPI, Redis, AWS, and Google Cloud.
At Symph, I work on production systems for M Lhuillier, including ML ASYS, a jewelry inventory platform supporting end-to-end inventory operations across a rollout covering 3,000+ branches nationwide. I architected event-driven synchronization pipelines between legacy and modern platforms using NestJS, BullMQ, Redis/GCP Memorystore, and Cloud Run, processing thousands of sync jobs per day and improving inventory sync throughput from around 100 items per day to 4,000–8,000 items per day. I also manage GCP infrastructure across QA, staging, pre-production, and production environments, including Cloud Run, IAM, load balancers, Cloud Armor, and CI/CD pipelines.
My experience also spans AI product development and international engineering teams. At
Norg.ai, I built FastAPI, TaskIQ, and Redis pipelines for crawling, document ingestion, real-time notifications, and RAG training workflows, while improving LLM classification systems through prompt testing, retraining tools, and Pytest-based quality checks. At Gard Technologies, I led development of React Native and Next.js platforms for security operations, supporting 3,000+ active security officers, 8 agencies, and 38 client sites, while automating invoice generation to reduce manual processing time from around 2 hours to 5 minutes.
I’m also certified as a Google Cloud Professional Data Engineer, Professional Cloud Architect, and Professional Machine Learning Engineer. My project work includes a Filipino Sign Language recognition system using React Native, FastAPI, PyTorch, and Mistral 7B, as well as machine learning projects in image classification, employability prediction, and AI-generated image detection.
What drives me is building software that connects strong engineering execution with real-world impact. I enjoy working on products that combine reliable systems, thoughtful user experience, and practical AI integration, especially in teams building scalable technology for finance, operations, accessibility, and AI-driven workflows.
