67 lines
3.1 KiB
Markdown
67 lines
3.1 KiB
Markdown
# Adrien Bouvais
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Data & Platform Engineer based in Luxembourg.
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I design backend systems, data platforms, and inference infrastructure — currently architecting the backend for Clearstream AI at Clavem Group.
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---
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## Work
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**Senior Data/ML Engineer — Clavem Group** *(2024 – present)*
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Lead backend architect for a cloud-agnostic AI/data platform serving multiple business units in production.
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- Designed full platform architecture: ingestion, storage, serving, and security layers
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- GitOps CI/CD on OpenShift/ArgoCD — config repos per environment, PR-gated promotion to production
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- Inference containers in Python, model/dataset registry via DVC + Artifactory, automated via GitHub Actions
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- Operated and monitored production workloads on OpenShift; enforced secrets management and least-privilege access
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**Data Engineer — Reveals SA** *(2023 – 2024)*
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Core banking data migration and quality platform for a Luxembourg bank.
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- Fault-tolerant pipeline migrating billions of rows of sensitive financial data — zero data loss, TLS-secured
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- Airflow DAGs for multi-source ETL: parallel tasks, dataset dependencies, Oracle → PostgreSQL consolidation
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- Real-time data quality platform (Python/Flask) and self-service SQL validation framework for non-technical stakeholders
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**Data & AI Consultant — Ernst & Young** *(2022 – 2023)*
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Data architecture advisory for enterprise clients on Azure.
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- Designed data platform architectures and ETL pipelines for clients across multiple industries
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- SQL schema optimisation for analytical workloads; Airflow-orchestrated data flows on Azure
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---
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## Currently Building
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### [Zigma](https://git.bouvais.lu/adrien/zigma) — A Programming Language for Science
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Write physics equations as code. Zigma attaches **dimensions and units directly to variables** and resolves them at compile-time via Zig's `comptime` — so a unit mismatch is a compiler error, not a runtime catastrophe.
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```
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g = 9.81 m/s²
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t = 0..10 s step 0.1
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v0 = 20.0 m/s
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y = (v0 * t) - (0.5 * g * t^2) // Zigma derives: y is in [meters]
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wrong = y + t // Compile-Time Error: Cannot add [Length] to [Time]
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```
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Zigma transpiles directly to Zig — C-level performance, automatic SIMD acceleration, zero runtime overhead. Supports uncertainty propagation (`20.0 +/- 0.5 m/s`), native CSV interpolation for empirical data, and `i128` precision for large-scale spatial simulations.
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Roadmap: WASM notebook, GPU acceleration (WebGPU), autograd, automatic Jacobian transforms.
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### [dimal](https://git.bouvais.lu/adrien/zig-dimal) — Dimensional Analysis Library for Zig
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The type system powering Zigma. A unified `Tensor` API parameterized entirely at compile-time:
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`T` (numeric type) · `dims` (physical dimensions) · `scales` (unit scale) · `shape` (array shape)
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Originally built to use `i128` positions in space simulations to avoid float precision loss at astronomical scales.
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---
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## Stack
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`Python` `Go` `Zig` `SQL` · `PostgreSQL` `Oracle` `SQLite`
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`OpenShift` `ArgoCD` `Airflow` `Terraform` `GCP` `Azure`
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`GitHub Actions` `DVC` `FastAPI` `Flask` `Docker`
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---
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`contact@bouvais.lu` |