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luizamfsantos/README.md

Hi, I'm Luiza Santos

I'm a researcher and engineer from Brazil

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  • Currently working on: some projects not yet ready to see the light of day. Don't fret, I got a lot of open repositories for you to dig.
  • I would appreciate any feedback on my repos.

Highlighted Projects

or-experiments-template — Scaffold for optimization-research group projects · Last worked on: August 2026

  • Pre-commit hooks enforcing complexity limits (radon), lint/format (ruff), and stripped notebook outputs
  • GitHub Actions CI (lint + pytest with coverage) gated by CODEOWNERS branch protection
  • Experiment configs require a goal/hypothesis/design-note/status block for traceability
  • Multiple solver backends (Pyomo/Gurobi/HiGHS, CP-SAT, heuristics) reporting into one comparable result schema

bot-detection-mlflow — Modular ML training and evaluation pipeline · Last worked on: June 2026

  • MLflow experiment tracking with config-driven runs (YAML per experiment)
  • Statistical comparison of algorithm performance, not just point metrics
  • Model serving via a /predict endpoint with automatic feature imputation
  • Health-check endpoint for deployment readiness

long-short-lstm — LSTM-based long-short trading strategy · Last worked on: May 2025

  • End-to-end pipeline: data ingestion → LSTM model → trading strategy → backtesting simulation
  • Dockerized for reproducible training and simulation runs
  • Test suite covering ingestion, model, trading, and simulator logic

Weather-Data-Pipeline — ELT pipeline for NOAA's Integrated Surface Database · Last worked on: June 2023

  • Ingests 1.4B+ hourly records (12GB, ~13,000 archive files) from 10,000+ stations via AWS S3
  • Orchestrated with Apache Airflow (download → extract → combine → stage → upsert)
  • PostgreSQL staging/transform layer feeding a Metabase dashboard for real-time analytics
  • Fully containerized with Docker Compose

Tech Stack

Python PyTorch scikit-learn Docker Kubernetes Azure MLflow Prefect CI/CD


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