AI Patent AnalysisApr 2026 - Present

Scout IP

Current roleCTO & Co-founder

What we are building

Leading the technical architecture, development, and optimization of AI pipelines for advanced patent analysis at Scout IP.

View the live product

The AI core

Semantic Patent Pipeline

From the user query to ranked results: every stage of the LLM pipeline I architected for semantic patent retrieval and ranking.

01Patent QueryThe user's intent in natural language
02EmbeddingsThe query becomes a semantic vector
03Semantic RetrievalVector search over the patent corpus
04LLM Re-rankingLLMs reorder candidates by relevance
05Ranked ResultsRelevant patents, ranked by precision

The CTO's perspective

As CTO and co-founder, I own the entire technical architecture of Scout IP. I shaped the system around an LLM pipeline that turns a natural-language query into a semantic search over a large patent corpus, then re-ranks the candidates with dedicated re-ranking models. The decisions I make every day - from embedding choices to the cloud infrastructure that powers long-running asynchronous workflows - define both the precision of the product and its ability to scale.

Key Contributions

01

Architecting complex AI pipelines for high-precision patent retrieval and semantic re-ranking.

02

Managing scalable cloud infrastructure to support asynchronous long-running analysis workflows.

03

Driving technical strategy as Chief Technology Officer.

Technology Stack

Python AI/LLMs

Get in Touch

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Let's Discuss Your Project

Pick a time that works for you. We'll hop on a 30-minute discovery call to discuss your goals. There's absolutely zero obligation, and you'll receive free technical guidance regardless.