System Intelligence
I am a Physics Engineering professional focused on quantitative research at the intersection of machine learning, optimization, and geometric modeling. My work explores how physical structure and mathematical insight can inform the design of more efficient learning systems.
I am particularly interested in physics-informed machine learning, manifold methods, and the application of differential geometry to real-world data and decision processes for business intelligence.
Geometric Machine Learning
- Manifold learning concepts
- Differential geometry fundamentals
- Curvature-based representations
- Dimensionality reduction (e.g., ISOMAP)
- Topological intuition in machine learning
- Embedding space analysis
- Physics-informed modeling
- Scientific visualization of manifolds
Optimization & Learning Dynamics
- Gradient-based optimization
- Loss landscape analysis
- Convergence behavior interpretation
- Stochastic optimization intuition
- Learning rate scheduling strategies
- Momentum and adaptive optimization methods
- Optimization diagnostics
- Model performance analysis
RHEM (Research Project)
- Curvature analysis of financial assets
- Dimensionality reduction pipelines
- Time-series representation learning
- Feature engineering for macroeconomic variables
- Multi-model forecasting workflows
- ARIMA / VAR conceptual modeling
- Ensemble modeling strategies
- Research pipeline design
Process Optimization & BI
- KPI design and monitoring
- Data-driven process optimization
- Fraud detection heuristics
- Dashboard conceptualization
- User behavior analysis
- Chatbot system design
- Product analytics interpretation
- Operational decision support
Technical Artifacts
Geometric learning + manifold methods applied to real-world data. Curvature-driven representations and dimensionality reduction pipelines.
Collection and analysis of micrometeorites with a research pipeline for classification, documentation, and scientific reporting.
Validated Records
Education_Background
B.Eng. Physics Engineering
Universidad Iberoamericana (IBERO)
Certificates
Synthesized Thought
Signal Interface
Initiate a high-priority transmission for research collaboration or technical inquiries.