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NathS04/README.md

Nathaniel Sebastian

Computer Science with Artificial Intelligence graduate from the University of Leeds.

I build technical systems where reliability, data and user requirements intersect — from evidence-grounded AI evaluation to production-style APIs and financial data controls.


Selected Work

Reliable RAG / Evaluation / Grounding / Auditability Evidence-grounded policy QA system wrapped with cross-encoder reranking, confidence-gated abstention, per-claim citation verification, contradiction surfacing, and structured audit exports. Evaluated on a 63-query golden set and 292-test core reliability suite (343 tests passing across expanded 346-test project collection), measuring explicit reliability vs usefulness trade-offs.

FastAPI / PostgreSQL / API Security / Testing Production-style backend API featuring 24 REST endpoints, JWT authentication, granular RBAC, Leeds City Council data ingestion, data provenance tracking, rate limiting, and 84 automated tests at ~95% coverage. Deployed live on Render.

Python / SQL / Reconciliation / Control Analytics Audit-analytics and data-quality pipeline processing 10,150 synthetic financial transactions. Performs SQLite standardisation, completeness/uniqueness/referential-integrity controls, duplicate payment screening, Benford distribution analysis, and £0.01 GL reconciliation.

Information Retrieval / Crawling / Indexing / Ranking Web crawling and IR engine that indexes 202 pages, builds a 4,646-term positional inverted index, supports log-normalised TF-IDF ranking with title-field weighting, exact phrase search, and edit-distance spelling suggestions with sub-millisecond query latency.


Technical Focus

Python · SQL · FastAPI · PostgreSQL · Applied AI · RAG · Information Retrieval · REST APIs · Testing · Git


Target Roles

Technical Consulting · Solutions Engineering · Applied AI / AI Solutions Engineer · Forward-Deployed Engineering · Product Analyst / APM · Backend Engineering

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