Now

Updated May 2026

Work

Building next-generation continuous pricing systems at Sabre — focused on the end-to-end pipeline from demand signal to offer construction in NDC-based distribution environments.

Current emphasis on pricing experimentation infrastructure: designing evaluation frameworks that can distinguish true revenue lift from noise in live airline systems.

Research

Thinking about the intersection of market-constrained forecasting and real-time offer optimization — specifically how policy decisions upstream propagate into demand signal quality.

Building

Setting up a personal AI agent infrastructure on a local Mac Mini: local LLM serving with Ollama, vector storage with Qdrant, and a FastAPI gateway exposed via Cloudflare Tunnel. Privacy-first, self-hosted.

Also built a domain-specific RAG chatbot for airline revenue management — embeddings via Ollama, semantic search over a curated RM knowledge base, and a multi-model interface supporting Claude and GPT variants with per-query cost tracking.

Learning

Building stronger machine learning foundations and keeping a public record of that work as I go.

• Coursera / Google Cloud — Introduction to AI and Machine Learning on Google Cloud (verified certificate)
• Coursera / Dubai College of Tourism — Travel Agency Fundamentals (verified certificate)
• Coursera / IBM — Develop Generative AI Applications: Get Started (verified certificate)
• Coursera / IBM — Build RAG Applications: Get Started (verified certificate)
• MIT — Digital Diploma (Blockcerts) (verified certificate)

Reading

• Literature on offer and order management system architectures (NDC/ONE Order transition)
• Recent AGIFORS proceedings on continuous pricing and willingness-to-pay estimation

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