AI Developer · Santo Domingo, DR

Alejandro
Matos.

I build intelligent systems that turn raw data into decisions. From predictive models and recommendation engines to enterprise automation — I work at the intersection of machine learning and real-world impact.

2+ Years building with ML
10+ Tools & frameworks

Building AI that works
in the real world.

Not just models — systems. I care about the full pipeline, from messy data to decisions that matter.

I'm an AI Developer currently completing my degree in Artificial Intelligence Technology at ITLA (graduating November 2026). My experience spans from designing and training machine learning models to deploying automation tools inside enterprise environments.

At Banco BHD, one of the Dominican Republic's largest banks, I contributed to internal systems that improved operational traceability and supported automation initiatives using Microsoft's Power Platform — giving me direct exposure to how AI and data solutions integrate into high-stakes corporate infrastructure.

I approach every project with the same discipline: understand the problem first, then build the simplest system that solves it well — and can scale.

Core ML / AI

Python Scikit-learn PyTorch Hugging Face Pandas NumPy Matplotlib Seaborn

Dev & Tools

Git / GitHub Jupyter Notebook C# / .NET JavaScript PowerApps Power Automate SharePoint Dataverse

Methods & Practices

CRISP-DM Feature Engineering Agile / Scrum Kanban GridSearchCV

Languages

Spanish — Native English — Intermediate

Where I've worked.

Corporate exposure from day one — delivering inside one of the DR's leading financial institutions.

Dec 2025

Banco BHD

Organizational Design Assistant

  • Updated and restructured internal organizational frameworks to improve traceability and execution across business units.
  • Standardized and cleaned data inputs to produce clear, actionable deliverables for teams and stakeholders.
  • Supported continuous improvement initiatives, bridging business requirements with concrete technical actions.
Process Optimization Data Standardization Stakeholder Communication

Aug – Dec 2025

Banco BHD

University Intern

  • Collaborated in a cross-functional team to design and deploy an internal leave, vacation, and permit management system — improving request traceability and operational efficiency across the institution.
  • Applied Agile methodologies (Scrum/Kanban) to deliver iterative improvements on a structured timeline.
  • Built automation workflows using PowerApps and Power Automate; managed data storage via SharePoint and Dataverse.
PowerApps Power Automate SharePoint Agile / Scrum Dataverse

Things I've built.

Real problems. Real data. Engineered solutions.

📊

Student Enrollment Forecasting — ITLA En Cifras (2006–2025)

Analyzed two decades of enrollment data using the CRISP-DM methodology. Built and compared Gradient Boosting and Random Forest regressors, applied feature engineering and one-hot encoding, and optimized hyperparameters via GridSearchCV. Selected the best model using MAE, RMSE, and R² metrics.

Python Scikit-learn Pandas Matplotlib
🐾

Intelligent Recommendation Engine — Pet Store

Designed and implemented an ML-powered recommendation system to personalize the shopping experience. Built full preprocessing and feature transformation pipelines for model training, then iteratively evaluated and tuned recommendation logic to maximize suggestion quality.

Python NumPy Scikit-learn Jupyter

Academic background.

Formal training in AI technology, complemented by hands-on corporate experience.

2024 — Nov 2026

Technology Degree in Artificial Intelligence

Instituto Tecnológico de las Américas (ITLA)
Santo Domingo, DR

2012 — 2018

High School Diploma / Bachillerato

Colegio San Francisco de Asís
Santo Domingo, DR

Let's build something
together.

I'm open to full-time positions in AI, data science, or software development. Whether you have a role, a data problem, or just want to connect — reach out directly.

⬇ Download CV