Diogo Ribeiro
Lead Data Scientist | AI Engineer | Professor | LLMs, RAG, AI Agents, Forecasting, Anomaly Detection | End to End Production AI Systems |…
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About
Diogo Ribeiro works in AI engineering, AI automation & agents and ML & data science, based in Portugal. Lead Data Scientist | AI Engineer | Professor | LLMs, RAG, AI Agents, Forecasting, Anomaly Detection | End to End Production AI Systems | Mathematical Engineer. Public projects on GitHub include Fastapi Ml Platform (Production-style FastAPI service for real-time fraud-risk scoring with ML inference, drift monitoring, and…), Smart Todo Action (A GitHub Action that scans your codebase for inline TODOs, FIXMEs, and BUG comments, and automatically…) and Bmssp (ssspx is a clean, typed, and tested implementation of a deterministic Single‑Source Shortest Paths solver…), mostly written in Python, Jupyter and JavaScript.
Projects 6
Fastapi Ml Platform
Production-style FastAPI service for real-time fraud-risk scoring with ML inference, drift monitoring, and observability
github.comSmart Todo Action
A GitHub Action that scans your codebase for inline TODOs, FIXMEs, and BUG comments, and automatically creates GitHub Issues — with support for labels, metadata parsing, and semantic enrichment.
github.comBmssp
ssspx is a clean, typed, and tested implementation of a deterministic Single‑Source Shortest Paths solver for directed graphs with non‑negative weights. It follows a BMSSP‑style divide‑and‑conquer design (levels, FindPivots, bounded base case) and includes a switchable frontier, an optional constant‑outdegree transform.
github.comgenSurvPy
Simulate survival data with a known truth: twelve models spanning proportional hazards, accelerated failure time, competing risks, cure fractions, recurrent events and multi-state processes. Docs: https://diogoribeiro7.github.io/genSurvPy/
github.comEsmad Public
Teaching material for ESMAD: linear algebra, integrals, surfaces of revolution and Python for mathematics.
github.comMin Ratio Cycle
Lawler-style parametric search with NumPy-accelerated negative‑cycle detection and an exact Stern–Brocot mode for integer weights.
github.com