I’m an AI Engineer with 2+ years of hands-on experience designing, building, and optimizing large-language-model (LLM)–driven services and NLP pipelines. I specialize in Retrieval-Augmented Generation (RAG), prompt engineering, and vector-database integrations (MongoDB Atlas Vector Search, Chroma), and have built production microservices—from natural-language-to-SQL agents to PDF-based compliance extractors. My background in end-to-end AI development spans scikit-learn and ensemble modeling through TensorFlow/PyTorch, as well as deploying scalable Python and FastAPI applications on AWS (Lambda, Athena ? MongoDB migrations, ECR, SQS) and Azure OpenAI Services. A former Data Science Fellow at Eskwelabs, I’ve also developed NLP-powered recommendation systems using spaCy and cosine-similarity algorithms. I hold a B.S. in Mathematics (Magna Cum Laude) from the University of the Philippines and continuously drive efficiency, accuracy, and cost-savings in AI solutions.
