TAMS — Travel & Meeting Society · Remote
Backend Engineer
Built an auditable multi-agent hotel procurement pipeline backed by Python, FastAPI, PostgreSQL, and structured analytics.
- Built a multi-agent pipeline spanning Discovery, Evaluation, Pricing, and Explanation, with auditable decision traces backed by a Python/FastAPI REST API.
- Converted raw spend data into procurement signals with Pandas cohort analysis, IQR confidence bands, and Amadeus GDS market data.
- Led a five-dimension vendor scoring framework covering price, location, program fit, compliance, and service quality using Pydantic v2 schemas and weighted scoring.
- Built document ingestion and PostgreSQL pipelines that normalized varied RFP responses and efficiently retrieved thousands of historical quotes.

Auditable decision traces · Python / FastAPI · Pydantic · PostgreSQL
