Master of IT in Business (AI) @ SMU
AI & Data Consultant
AI & Data Consultant | Master's Student in AI at SMU
I'm a data and AI professional with 4+ years of experience at Deloitte Consulting Southeast Asia, where I delivered scalable ML pipelines, AI-driven analytics solutions, and data architectures for enterprise clients across industries — processing over 10 million records daily and cutting cloud costs by $120K annually.
I'm currently pursuing a Master of IT in Business (Artificial Intelligence) at Singapore Management University, deepening my expertise in machine learning, large language models, recommender systems, and agentic AI.
My work sits at the intersection of AI engineering and business impact — building systems that are not just technically sound, but meaningfully useful.
A cross-functional toolkit spanning AI engineering, data infrastructure, and cloud platforms — built across 4 years of hands-on consulting delivery.
Selected projects spanning agentic AI, cloud data integration, and graph database engineering — delivered at Deloitte and through personal research.
Built an agentic AI chatbot with RAG architecture, migrating unstructured fashion catalog data into a vector database using embedding models. Implemented real-time vector retrieval for personalized recommendations across thousands of SKUs.
Designed and implemented a data integration solution using Oracle Data Integrator to Oracle Cloud. Optimized SQL queries, automated ETL scheduling, and provided SIT/UAT support to enable faster decision-making.
Developed a pipeline to consolidate logistics data from multiple sources and migrate it from relational databases to a graph database using Cypher SQL. Built a real-time tracking system that reduced delivery delays.
I'm open to AI/data engineering roles, research collaborations, and consulting opportunities. Reach me directly at nnn.tran.2025@mitb.smu.edu.sg or via the form below.