About me
I am an AI & Machine Learning Engineer specialized in building autonomous AI agents and RAG architectures. My work sits at the intersection of FinTech compliance and generative AI, where I build systems that transform raw data into invaluable tools for decision-making.
I have architected AI-driven AML/CFT frameworks for U.S. and Brazilian markets, building agents that automate complex compliance workflows while ensuring alignment with FinCEN, OFAC, and BSA standards.
Beyond compliance, I specialize in the full lifecycle of AI engineering, orchestrating stateful multi-agent systems with LangChain and LangGraph, implementing Model Context Protocols (MCP), and fine-tuning LLMs via RLHF. I deploy these solutions as scalable MLOps pipelines using FastAPI, Docker, and vector databases.
What I Do
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Machine Learning Engineering
Architecting production-ready MLOps pipelines using FastAPI and Docker. I handle the full lifecycle, from feature engineering and model training to scalable deployment, ensuring models perform reliably in real-world production environments.
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Agentic AI & RAG Systems
Orchestrating autonomous multi-agent workflows using LangGraph, LangChain, and Model Context Protocol (MCP). I specialize in building Retrieval-Augmented Generation (RAG) systems that allow LLMs to reason over proprietary data with high accuracy.
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RegTech & Compliance Engineering
Engineering automated AML/CFT frameworks that optimize financial crime detection. I build Python-based monitoring tools and vector search systems that streamline KYC workflows and ensure alignment with FinCEN and OFAC regulations.
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Technical Content Creation
Creating high-impact technical content on AI, machine learning, and finance. Published 20+ articles reaching 5,000+ monthly readers, with expertise in SEO optimization and educational content.
