Data-Driven Solutions for SMBs | CEO at NTK Solutions | Data Science
I help small and medium-sized businesses transform their data into operational efficiency and measurable growth by building intelligent systems that solve real business problems.
Explore my projects, experience, and work across data science, AI, automation, and product development.
Data Science Engineering student focused on machine learning, business intelligence, AI, and automation. I enjoy turning complex data and emerging technologies into practical systems that solve real-world problems.
My interests include model interpretability, LLM optimization, AI agents, and production ML systems, with a strong focus on building solutions that create measurable business impact.
Currently: LEAD University — Data Science Engineering
Based in: San José, Costa Rica
Open to collaborations, projects, and opportunities combining data science, AI, and real-world impact.
Machine Learning — PyTorch, TensorFlow, scikit-learn, model deployment, deep learning, NLP, graph neural networks
Data — Python, Pandas, SQL, MySQL, PostgreSQL, ETL pipelines
Backend — FastAPI, Docker, Linux, Git
Analytics — Power BI, Tableau, data visualization
Design — Figma, Blender, Adobe Illustrator
Claude X-Ray: The Hidden Brain of Claude Code
Repo — A reverse-engineering analysis of the internal architecture of Claude Code
Stack: Python, Jupyter, TeX
Multi-stage ML architecture combining Mamba SSM, GATv2, and salience scoring for transparent classification systems.
Stack: PyTorch · Mamba SSM · Graph Neural Networks
Repo — This project implements a banking fraud detection system using Machine Learning techniques. Stack: Python · scikit-learn · Pandas · Matplotlib · seaborn · numpy
Repo - Containerized ML serving with FastAPI and Docker for scalable model deployment.
Stack: FastAPI · scikit-learn · Docker · Python
Repo — Geographic and transmission analysis of pandemic behavior in Costa Rica using government datasets.
Stack: Python · Pandas · GeoPandas · Matplotlib
Repo — EDA of Netflix's 90s catalog: genre trends, duration distributions, IMDB correlations.
Stack: Python · Pandas · Matplotlib