Bridging the gap between Enterprise Engineering and Generative AI.
Specializing in Distributed Systems, RAG, and Safe AI.
I am a veteran software engineer with over a decade of experience architecting high-concurrency systems for 30 million users (ex-Bailian Omnichannel). My expertise lies in the Java ecosystem, Cloud Architecture (AWS), and optimizing large-scale Search Middleware.
Currently, I am pivoting to academic research at the University of York. I am focused on solving the "Last Mile" problems of AI deployment: specifically Hallucination in RAG pipelines and Narrative Consistency in AI Agents.
My goal is to design AI frameworks that are not just theoretically sound, but engineeringly robust and scalable.
An explainable Retrieval-Augmented Generation (RAG) pipeline designed for enterprise knowledge bases. Implements a Hybrid Search strategy (Elasticsearch + PgVector) to solve context window limits and hallucinations.
View ArchitectureA systematic critical review of Adaptive AI behaviors in gaming. Investigates the trade-off between Deep RL agent performance and player immersion using the SPIDER framework.
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