Available for work · Lisbon, PT

Samuel
Garcia.

Seven years in finance. Now building ML systems that actually ship — from S&P 500 forecasting to Fed sentiment models.

Machine Learning Finance → ML Python / PyTorch NLP / MLOps
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01 — Projects

Work that
ships.

ML / Finance · 01
Macro-Alpha Engine
S&P 500 Forecasting
Featured · Live
Macro-Alpha Engine
End-to-end S&P 500 forecasting system combining macro indicators with XGBoost and LSTM models. Live dashboard with real-time signal generation and SHAP explainability.
PythonXGBoostLSTMSHAPDocker
View Live →
NLP / Macro
Fed-Watcher AI
Fed Sentiment · Rate Shifts
NLP · Live
Fed-Watcher AI
NLP pipeline that processes Fed statements and FOMC minutes to predict rate shift probability. Sentiment scoring with historical backtesting and live analysis.
NLPPandasPlotlyStreamlit
View Live →
EdTech / AI
Pocket Professor
DS/ML Interview Prep
PWA · Live
Pocket Professor
AI-powered interview prep for data science roles. Flashcards, adaptive Q&A with live Claude feedback, and business case scenarios. Installable as a PWA.
Claude APIVanilla JSLocalStoragePWA
View Project →

The story
so far.

I spent seven years in financial services — risk analytics, AML, and KYC systems — before pivoting into machine learning. That background isn't a detour; it's the whole point. I build models that solve real problems in domains where the stakes are high and the data is messy.

Right now I focus on production ML: forecasting systems, NLP pipelines, and tools that go from notebook to deployment. Based in Lisbon, working remotely with teams anywhere.

Samuel Garcia

The tools
I reach for.

From model training and evaluation to deployment and domain-specific data — the full picture of what I work with day-to-day.
Core ML
Python
PyTorch
XGBoost
Scikit-learn
SHAP
MLflow
Data & Visualisation
Pandas
NumPy
SQL
Plotly
Streamlit
Infrastructure
Docker
GitHub Actions
Linux / CLI
Finance Domain
Risk Analytics
AML / KYC
Time Series
NLP / Sentiment
Financial Modelling
04 — Contact

Let's build
something.

Open to freelance projects, full-time roles, and interesting conversations. Based in Lisbon — available globally.

[email protected]
LinkedIn GitHub Email