I specialize in architecting, deploying, and securing scalable Generative AI applications and multi-agent systems. I take a hands-on approach to the entire lifecycle of a project—from designing high-concurrency backend architectures to managing cloud infrastructure and ensuring robust network security.
Currently, I am engineering high-performance analytics engines that leverage LLMs, DuckDB, and asynchronous architectures to automate complex data processing and market research.
- Poseidon: Engineered a high-concurrency, multi-agent AI analytics engine (DuckDB/LangGraph) that automates executive-level market research, cutting data processing and analytical cycles by 50%.
- Hercules: Architected an LLM-powered conversational agent that autonomously translates high-level business objectives into professional, deployable consumer market surveys for mass data collection.
- PocketSage: Developed an intelligent, RAG-driven knowledge extraction system designed to transform fragmented documents into instantly accessible, highly contextualized insights.
- Leafy: Built an AgTech diagnostic engine utilizing custom Residual CNNs and Explainable AI (XAI) to deliver transparent, actionable crop health analysis for the agricultural sector.
- Secure Remote Password (SRP): Implemented a zero-knowledge proof authentication protocol in Go, ensuring mathematically guaranteed user identity verification even in the event of severe server breaches.
"Building the bridge between complex data and intelligent decisions."