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Software engineering, distributed systems, and applied AI — Edson Henrique

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Edson Henrique — Montréal

Hey, I'm Edson. 👋

I'm a software engineer in Montréal, with a background in backend systems, cloud infrastructure and performance at CapIntel, SSENSE and XP Inc. Here you'll find my open-source work on service architecture, retrieval and local decision models.

🧪 Open work

Architecture Studies — one document service in three backend designs. Node.js and Python APIs, SQLite and integration tests. Decision Workbench — local decision models, public data and visible tradeoffs, with reproducible evaluations, typed APIs and bounded workflows. Enterprise AI Lab — tenant-aware retrieval compared with an unsafe baseline, using offline fixtures and reproducible reports.

Merged upstream contributions

  • pyproject-api — Prevent source-tree deletion from unsafe metadata output paths, with regression tests for ancestor paths and symlink aliases.
  • pytest-env — Honor explicitly empty environment-file lists instead of loading fallback files, with subprocess regression tests.
  • filelock — Handle NetBSD symlink-refusal errors as lost ownership in soft reader/writer locks.
  • pyfakefs — Measure setup benchmarks with CPU time after warmup, retaining coarse regression limits and testing the measurement itself.

🎙️ The story behind UHIRED

I knew my experience. Explaining it in an interview was harder. That's why I built UHIRED: practice answering questions aloud around a job description, then get feedback on each answer.

It won 1st place, Phase 2 — Learn and Integrate, in the Microsoft Developers AI Learning Hackathon (2024).

The project & demo · Microsoft's announcement

Elsewhere

LinkedIn ↗ · Devpost ↗

The concrete should serve the abstract. The temporal to the eternal.

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Software engineering, distributed systems, and applied AI — Edson Henrique

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