That combination is what shaped my current role at Lifewood Data Technology, where I work as a Project Manager and AI Executive. On the technical side, I design and deploy AI-powered applications including chatbots, AI agents, and Retrieval-Augmented Generation systems. I integrate external APIs, build automated internal monitoring tools, and ship production applications through cloud platforms like Vercel. On the delivery side, I lead client meetings, gather operational requirements, and manage scope, schedules, and budgets end-to-end. I've successfully delivered three or more complex projects on time and within budget so far.
What I think makes my profile a bit different for an AI engineering role is that I don't come at AI purely as a researcher or purely as a developer. I come at it as someone who has cleaned the data, built the system, and sat across the table from the client explaining what it does and why it matters. My IBM certifications in RAG, AI Literacy, and AI Fundamentals reinforce that applied focus, and my Information Technology degree from Cebu Technological University gave me the engineering foundation, including a capstone project where I led the development of a cross-platform rental marketplace with integrated payment APIs and a custom notification engine.
Right now I'm most interested in roles where I can go deeper on the AI engineering side building agents, RAG pipelines, and automation systems that solve real operational problems. I'm looking for a team where strong technical delivery and clear client outcomes are valued equally.