Summary
Carlo Acosta is a manager-level AI engineer with eight years of software engineering experience and a master's focus on AI from the National University of Singapore, currently leading AI initiatives at GCash. He blends deep learning, graph neural networks and LLM tooling with hands-on product engineering—designing RAG pipelines, multi-agent workflows, and production integrations that have shipped in fintech and PLM contexts. At Infor he helped kickstart AI adoption in product features and earned top performance awards, and more recently he architected autonomous scraping agents and Agentic AI training programs that cut manual lead-gen costs by 70%. Comfortable across front-end, back-end and orchestration layers (React, .NET, Django, LangChain, LangGraph), he favors pragmatic, modular designs that reduce coupling and improve maintainability. Beyond engineering, he has applied entrepreneurial and operational discipline from co-founding a food stall and leading campus organizations, bringing cross-functional leadership to AI-first product delivery.
8 years of coding experience
6 years of employment as a software developer
BS Computer Science, N/A, BS Computer Science, N/A at Ateneo de Manila University
Master's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at National University of Singapore
English, Filipino