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cplegendre/README.md

Dr. Cédric P. Legendre

AI Systems Engineer & Data/AI Leader
Senior Software Engineer, Red Hat, Office of the CTO

I design deterministic, auditable boundaries around probabilistic AI systems.

Selected Work

🛡️ AegisLM

Local-first, multi-tenant LLM benchmarking and governance platform.

PostgreSQL RLS · Redis · paired bootstrap / sign tests · tamper-evident evidence · deterministic promotion policies · production-assurance CI

📐 TER

Token-efficiency analysis for coding agents: waste detection, real-time monitoring, cost-weighted scoring.

Reproducible coding-agent benchmark infrastructure for SWE-bench and Terminal-Bench using Harbor, OpenShift, vLLM, and MinIO.

Open-source seismological processing toolkit for automated waveform download, Receiver Function analysis, SKS shear-wave splitting, H-K stacking, and cartographic output.

ObsPy · FDSN · HDF5 · YAML-driven workflows · reproducible geophysical processing · international research use

Red Hat ET / Hugging Face. Contributed cost-vs-performance charts, shared visualisation controls, and Gradio/Plotly integration.

Engineering Principles

  • LLMs propose; validation layers decide
  • Hard failure on invariant violation beats silent corruption
  • Every run should be replayable, auditable, and evidence-driven
  • An AI system may not harm production, or through lack of validation allow production to come to harm.

Selected Stack

AI/LLM: Python · PyTorch · Ollama · FastAPI · Pydantic · SentenceTransformers
Platform: Docker · Kubernetes · OpenShift · PostgreSQL · Redis · MinIO
Data: GCP · BigQuery · Vertex AI · dbt · Airflow
CV/Spatial: OpenCV · Open3D · Grounding DINO · SAM · LiDAR
Quality: pytest · Ruff · mypy · CodeQL · GitHub Actions

Background

10+ years leading Data, AI, and research teams across Europe and Asia.

Ph.D. in Geophysics · 20+ peer-reviewed publications · ~50 invited scientific talks.

Previously Head of Data & AI at Intellmaps, with earlier senior research roles across Taiwan and Czechia and a postdoctoral appointment at Academia Sinica.

Connect

LinkedIn · Google Scholar · GitHub

Open to collaborations on reproducible AI evaluation, deterministic LLM orchestration, and AI governance infrastructure.

Popular repositories Loading

  1. rag-knowledge-base rag-knowledge-base Public

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  2. STADIUM-Py STADIUM-Py Public

    Forked from earthinversion/STADIUM-Py

    STADIUM-Py is a Python software tool that fully automates the receiver function technique (RF) and shear wave splitting (SKS) measurement analysis.

    Python 1

  3. PlotSeismicity PlotSeismicity Public

    Plot 3D views of the seismicity

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  4. COMMSENV-20-0348 COMMSENV-20-0348 Public

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  5. Afar-2sta Afar-2sta Public

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  6. documentation documentation Public

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