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nepryoon/README.md

Neuromorphic Inference Lab

I build production-grade ML systems end-to-end: data → features → training → artefacts → serving → evaluation → monitoring.
Focus: MLOps, LLMOps (RAG), and reproducible forecasting

Start here (live)

Hero systems

MV Grid Fault Risk Scoring Platform

Fault risk inference for medium-voltage networks with tracked training, artefact versioning, and API serving.
Docs: https://www.neuromorphicinference.com/demos/mv-grid-fault-risk/
Code: https://github.com/nepryoon/mv-grid-fault-risk

RAG Copilot (LLMOps)

RAG with retrieval traceability, citations, guardrails, and an evaluation harness for regression testing.
Docs: https://www.neuromorphicinference.com/demos/rag-copilot/
Code: https://github.com/nepryoon/nil-rag-copilot

Forecast Studio

Forecasting system with validation, backtesting, reproducibility, and memo-style artefacts for stakeholders.
Docs: https://www.neuromorphicinference.com/demos/forecast-studio/
Code: https://github.com/nepryoon/nil-forecast-studio

Keywords

CI/CD for ML · Model Serving · Inference Scaling · Feature Engineering · Feature Stores · MLflow · Docker · Evaluation Harness · RAG · LLMOps · Observability · Reproducibility

Contact

Pinned Loading

  1. neuromorphic-inference-lab-site neuromorphic-inference-lab-site Public

    Cloudflare Pages portfolio: systems hub + proof ledger + build provenance (Pages Functions).

    HTML

  2. edgepulse edgepulse Public

    Production patterns for ML/AI systems: APIs, infra, tracing, and deployment-ready templates.

    TypeScript 1

  3. mv-grid-fault-risk mv-grid-fault-risk Public

    End-to-end MV grid fault risk scoring: feature engineering, tracked training, artefact versioning, API serving, monitoring-ready outputs

    Python

  4. nil-forecast-studio nil-forecast-studio Public

    Forecasting system with data validation, backtesting, reproducibility, and artefacts suitable for stakeholders.

  5. nil-rag-copilot nil-rag-copilot Public

    RAG Knowledge Copilot with retrieval tracing, citations, guardrails, and an evaluation harness for regression testing.

    Python

  6. nil-tabular-risk nil-tabular-risk Public

    Tabular risk modelling with reproducible pipelines, evaluation, and deployment-friendly structure.