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Achievement: YOLO

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ruimiguelyo/README.md

Rui Sá — Software Engineer

Computer Engineering · software systems · reliable AI
Setúbal, Portugal · 4.5 years of enterprise delivery at Deloitte

LIVE WORK ↗  ·  LINKEDIN ↗  ·  EMAIL ↗

I turn ambiguous systems into software that can be inspected, measured and explained.

Selected work

JudgeShift CX — tests when an LLM judge should be trusted and when it should abstain.
36 bilingual cases · 4 judge strategies · 97.2% rubric agreement
Python TypeScript React · live ↗ · method ↗

JAX Language Model Lab — a from-scratch Transformer lab for controlled continual pretraining.
3.32M parameters · 20,480-token adaptation budget · reproducible evaluation
JAX Flax Optax · results ↗ · source ↗

SplitFX — explainable cross-currency settlements with honest failure states.
minor-unit money model · deterministic settlements · unit and E2E tests
TypeScript React Redux Toolkit · live ↗ · source ↗

Enterprise foundation. SAP ABAP developer and functional consultant at Deloitte Portugal, working across FI/CO, SD/MM and MM/SRM from Oct 2021 to Mar 2026.

Education. BSc in Computer Engineering at the Polytechnic Institute of Setúbal — 144 ECTS completed, expected 2027.

Technical range
Python · TypeScript/JavaScript · Java · SQL · ABAP
JAX · Flax · Optax · PyTorch · Hugging Face Transformers
React · Redux Toolkit · pytest · Jest · Cypress · GitHub Actions

Pinned Loading

  1. splitfx splitfx Public

    Accessible React/TypeScript app for explainable cross-currency expense splitting, deterministic settlements, and honest FX failure states.

    TypeScript

  2. jax-language-model-lab jax-language-model-lab Public

    From-scratch JAX/Flax language-model training lab for controlled continual pretraining, replay, and reproducible evaluation experiments.

    Python

  3. judgeshift-cx judgeshift-cx Public

    Bilingual LLM-as-a-judge benchmark and dashboard for measuring agreement, robustness, coverage, and when AI evaluators should abstain.

    Python