I’m an AI and Machine Learning Engineer passionate about building intelligent systems that bridge research and real-world applications. My expertise lies in designing and deploying production-grade AI solutions, including LLM orchestration frameworks, multi-agent systems, and RAG-powered applications. I’ve architected end-to-end ML pipelines that span data ingestion, model development, CI/CD automation, and observability—ensuring reliable, cost-efficient, and scalable AI operations.
Currently, I work at Eclaro, where I lead initiatives to integrate Generative AI across multiple insurance business units. I’ve developed enterprise LLM orchestration frameworks, optimized intelligent document processing pipelines, and implemented multi-agent workflows that significantly reduced processing time and improved decision consistency. My work also involves MCP adoption, AI observability, and LLM cost optimization across production environments.
Previously, I’ve contributed as a Data Scientist Intern at Insight Genie, improving voice and sentiment models; and as Lead Software Engineer at BitWork Solutions, where I delivered large-scale applications and established DevOps best practices. My earlier experience at BPOSeats involved pioneering vector database integrations, semantic search, and AI-driven productivity forecasting pipelines.
Beyond my professional roles, I’m an active AI Infrastructure and Deployment Advocate at AI Pilipinas – Cebu Chapter, where I write about MLOps and Google Cloud’s AI ecosystem. I also serve as Lead Software Engineer for the UP Computer Science Guild, mentoring student teams in full-stack development and agile collaboration.
I’m driven by a mission to automate and scale the entire ML lifecycle—from experimentation to deployment—while pushing the boundaries of what’s possible with Generative AI, cloud-native infrastructure, and applied deep learning.
