I am a Builder, Inventor, and Strategic Technical Advisor with 20 years of experience engineering enterprise-grade infrastructure and AI systems.
For the last 15 years, I have served as a Senior Staff Engineer at a leading Big Tech company. I have architected and scaled backend infrastructure for products used by billions of people globally, spanning global mapping infrastructure, core search engine algorithms, high-throughput digital advertising networks, consumer payment gateways, and cutting-edge Large Language Models (LLMs).
Prior to navigating hyperscale environments in Big Tech, I spent 5 years engineering highly secure, low-latency financial systems and enterprise fintech solutions at UBS.
Through Intus Labs, I act as an independent advisor to founders navigating the complexities of AI adoption. I bridge the gap between cutting-edge research and scalable, enterprise-ready application design.
Navigate the rapidly shifting generative AI landscape without getting locked into specific cloud providers. I help leadership teams define their AI strategy based on general industry trends, core business needs, and sustainable long-term scaling.
High-level system design for modern generative workflows. Providing strategic guidance on the mathematical and logical structures of RAG (Retrieval-Augmented Generation) pipelines, embeddings, and secure data routing for enterprise applications.
Ensuring safety and efficacy in production. I design rigorous methodologies to evaluate AI systems for clinical safety, hallucination mitigation, and output reliability, specifically for mission-critical and highly regulated use cases.