About Me
Machine Learning Engineer Portfolio
Hi! I'm
I'm currently pursuing an M.Sc. in Artificial Intelligence at the Friedrich-Alexander-Universität Erlangen-Nürnberg, where I focus on machine learning, data analytics, and applied statistics.
My strongest curiosity sits where data becomes decisions: using data science and machine learning to understand business problems, reveal patterns, and turn analytical, mathematical, and statistical thinking into practical strategy. I'm especially drawn to finance, from data analytics and quantitative analysis to the ideas behind quantitative finance.
My Skills
Loading skills...
Latest News & Updates
Research milestones, publications, and ongoing work that reflect where my interests in applied machine learning are moving next.
M.Sc. Thesis Completed
Completed and successfully presented my thesis, Machine Learning-Based Recognition and Differentiation of Porcine Voice Acoustics for Longitudinal Assessment of Laryngeal Surgical Outcomes, carried out in cooperation with UCLA.
Co-Authored Paper Published
The paper Vocal Outcomes After Cell-Based Outer Vocal Fold Implant in Porcine Bilateral Vocal Fold Resection, for which I was a co-author, is now available online in The Laryngoscope.
Research Project at IDEA Lab
Currently working with the IDEA Lab on Tabular Foundation Models for machine-learning-based prediction of risk and prognostic factors for liver metastasis from pancreatic neuroendocrine tumors.
My Projects
A curated set of applied projects across machine learning, data engineering, research software, and web development, with links to the code and demos behind each build.
Data Engineering / Data Science
End-to-end ETL and time-series analysis project on real estate market dynamics in Medellin, Colombia, combining data extraction, cleaning, transformation, and exploratory modeling.
Deep Learning for Anomaly Detection
Reproducibility and extension of a CVPR anomaly detection method, with improvements focused on applying deep learning to industrial anomaly detection settings.
PubMed to Bedside App
RAG-based clinical literature assistant that parses patient cases, retrieves PubMed evidence, screens papers, and generates citation-audited answers grounded in biomedical literature.
Website Portfolio
Personal portfolio built with Next.js, React, TypeScript, Tailwind CSS, motion effects, and static deployment in mind to present projects, research, and contact paths clearly.
Curriculum Vitae
A concise overview of my education, technical profile, projects, and professional experience.
My Professional Resume
View or download my complete curriculum vitae to learn more about my education, skills, and professional experience.
Get in Touch
The easiest paths to reach me, review my work, or continue a conversation around data, machine learning, and applied AI.
Find Me Here
"Swing by for a cup of Colombian coffee, and let's stir up some exciting machine learning ideas!"