Professional Overview
I'm an AI/ML Engineer with a proven track record of building production-grade intelligent systems in the financial services sector. Currently at Equifax, I've designed and deployed agentic AI platforms that have reduced operational overhead by 90%, including an LLM-powered orchestration system that cut credit insights reporting time from 24 hours to 6 hours. My expertise spans the full spectrum of modern AI engineering: multi-agent orchestration with LangGraph, RAG architectures, custom RPA solutions, and multimodal AI systems. I specialize in transforming complex business problems into elegant technical solutions—whether that's building a Generative AI Financial Analyst that enables natural language interrogation of BI reports, or developing XGBoost-based credit risk models that outperform legacy systems by 95%. Beyond my day-to-day work, I actively explore emerging AI paradigms. My recent projects include VentureScope, an autonomous multi-agent system that analyzes VC pitch decks and generates investment memos, and CreditAI Fraud Analyzer, a local-first fraud detection system using OCR and explainable AI. I thrive at the intersection of cutting-edge AI research and practical business impact, with deep expertise in Python, LangChain, Vertex AI, and GCP. I'm passionate about building AI systems that don't just automate tasks—they fundamentally reimagine how organizations leverage data and intelligence. Looking for: AI/ML Engineer, LLM Engineer, or Applied AI Scientist roles where I can architect next-generation intelligent systems at scale.
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
