Summary
Overview
Work History
Education
Skills
Websites
References
Timeline

Alexander Bernal

Albuquerque,NM

Summary

Driven by a deep interest in artificial intelligence, I have applied advanced machine learning techniques to solve real-world problems through rigorous, research-backed experimentation. My experience spans the full ML lifecycle—from data preprocessing and model development to performance evaluation and technical documentation. I thrive in collaborative research environments and bring strong analytical, coding, and communication skills to every project. I'm committed to building intelligent systems that are not only accurate, but also interpretable, scalable, and impactful.

Overview

3
3
years of professional experience

Work History

Research Assistant

University of New Mexico, NM
Albuquerque, New Mexico
07.2022 - Current
  • Collaborated on advanced research projects to design and deploy scalable AI/ML models emphasizing interpretability and performance optimization.
  • Engineered data pipelines for high-dimensional datasets, implementing cleaning, normalization, and feature engineering.
  • Designed, trained, and fine-tuned models including Random Forests, Gradient Boosting Machines, and neural networks using TensorFlow, PyTorch, and Scikit-learn.
  • Conducted analyses of model performance utilizing precision-recall tradeoffs, ROC curves, AUC, and cross-validation for statistical rigor.
  • Authored peer-reviewed publications and technical reports; prepared figures and LaTeX manuscripts for conferences.
  • Participated in weekly research meetings, providing insights into experimental design and ethical considerations in AI deployment.

Education

Master of Science - Computer Engineering

University of New Mexico, Albuquerque, NM
05-2027

Bachelor of Science - Computer Science

University of New Mexico, Albuquerque, NM
05-2025

Skills

  • Machine Learning (Supervised & Unsupervised)
  • Statistical Modeling & Inference
  • Data Analysis & Visualization
  • Model Optimization & Hyperparameter Tuning
  • Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch)
  • Research Collaboration & Experimental Design
  • Technical Writing & Scientific Communication
  • Reproducible Research Practices (Git, Jupyter, LaTeX)

References

References available upon request.

Timeline

Research Assistant - University of New Mexico, NM
07.2022 - Current
University of New Mexico - Master of Science, Computer Engineering
University of New Mexico - Bachelor of Science, Computer Science