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Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO

Achievements

Achievement: Pair ExtraordinaireAchievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO

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kingsleyonoh/README.md

Kingsley Onoh

Systems Architect — I design the infrastructure that runs businesses.

I build data pipelines, scenario engines, and automation systems. The kind of backend infrastructure that replaces manual processes, eliminates operational hours, and scales without babysitting.

Featured Work

Multi-Agent RAG Platform — Production-grade retrieval-augmented generation with knowledge graph enrichment, multi-model routing, and cost-controlled tool-calling agents. 447 tests, 95% coverage. Built with Python, FastAPI, pgvector, Neo4j, and Redis.

Transaction Reconciliation Engine — Automated financial transaction matching across payment gateways and bank feeds. 4-rule scoring cascade with fuzzy matching, processes 4,000 transactions in under 5 seconds. Built with Go, PostgreSQL, and Redis.

CourtVision — NBA player prop predictor. Simulates performance shifts when teammates sit using usage vacuum modeling. Built with Python, SQLite, and REST APIs.

NFLQB — NFL quarterback performance analysis pipeline. Custom composite metrics, correlation analysis, and automated PDF reporting. Built with Python.

Full case studies, architectural breakdowns, and engineering deep-dives at kingsleyonoh.com.

LinkedIn

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  1. Multi-Agent-RAG-Platform Multi-Agent-RAG-Platform Public

    Python 2

  2. Event-Driven-Notification-Hub Event-Driven-Notification-Hub Public

    TypeScript

  3. Transaction-Reconciliation-Engine Transaction-Reconciliation-Engine Public

    Go

  4. Healthcare-Appointment-Slot-Optimizer Healthcare-Appointment-Slot-Optimizer Public

    Python

  5. Webhook-Ingestion-Replay-Engine Webhook-Ingestion-Replay-Engine Public

    TypeScript

  6. Workflow-Automation-Engine Workflow-Automation-Engine Public

    Python