Computational Physicist | Data Scientist | High-Performance Computing (HPC) Engineer-in-Training
Bridging theoretical physics with advanced software engineering.
I am a 9th-semester Physics student at the Universidad de Antioquia (UdeA) in Medellín, Colombia. I approach data and machine learning not just as algorithmic heuristics, but as complex physical systems governed by statistical mechanics, information theory, and high-dimensional geometry.
- 📬 Connect with me: LinkedIn
- 🏆 Talento Tech Alumnus: Certified in Análisis de Datos Integrador
- Languages: Python (Advanced), C++17 (Intermediate), SQL (PostgreSQL / MySQL), Verilog / VHDL, Tcl
- Data Science & AI: PyTorch, TensorFlow, scikit-learn, FinBERT (NLP), YOLO (Computer Vision), LSTMs
- Engineering & DevOps: Docker, CUDA (GPU Computing), OpenMP, Linux (Bash), Git / GitHub, PYNQ Framework
- Ising-Dynamics: High-Performance C++/CUDA simulator of ferromagnetic systems. Achieved a >150,000x speedup over Python with full Finite-Size Scaling validation.
- Quantitative-Gold-Analysis: End-to-end sentiment-enhanced LSTM pipeline predicting gold prices using FinBERT NLP on ~189k financial news headlines.
- Thermal-Quantum-Numerov-Solver: High-order Schrödinger equation numerical solver refactored from research notebooks into a clean, professional OOP Python library.
- Competitive Chess: FIDE Rated (+2000 Elo). I apply high-level competitive chess logic to risk analysis, long-term strategic decision-making, and structural problem-solving under pressure.
- Complex Origami: Passionate about geometric origami design and crease pattern editing, developing advanced 3D spatial reasoning, patience, and procedural discipline.