Education

This section covers my academic background in Computer Science, Machine Learning, and interdisciplinary studies as well as my awards and certifications.

Academic Background

2025 - Present

Master of Science in Computer Science

Georgia Institute of Technology

Specialization: Artificial Intelligence

Currently pursuing a graduate degree in Machine Learning and Artificial Intelligence at one of the top computer science programs in the United States. Core-requirement courses not included below.

Relevant Coursework
  • Knowledge-Based AI: This course focused on building AI agents capable of human-like intelligence and gaining insights into human cognition. Core topics such as incremental concept learning, and explanation-based learning; common tasks such as diagnosis, and design; and advanced topics such as analogical reasoning and meta-reasoning.
  • Natural Language Processing: Modern data-driven techniques for natural language processing. The course moved from shallow bag-of-words models to richer structural representations of how words interact to create meaning, including language models, attention, and comprehension.
  • Human-Computer Interaction: Principles of human–computer interaction framed through cognition, perception, and decision-making. The course examined users' attention, working memory, and cognitive load during interactions with computers, paired with hands-on projects in need-finding, user evaluation, feedback, and iterative design.
  • AI, Ethics, and Society: Covered how artificial intelligence and machine learning systems impact individuals and society, with an emphasis on fairness, bias, and ethical deployment. The course taught techniques in quantifying and mitigating algorithmic bias while considering legal and ethical implications.
  • Machine Learning for Trading: Application of machine learning based trading strategies from information gathering to market orders. This course delved into statistical approaches like linear regression, Q-Learning, KNN, and regression trees and how to apply them to actual stock trading situations.
2018 - 2022

Bachelor of Arts

Case Western Reserve University

Majors:

Computer Science Economics Philosophy

Minors:

Artificial Intelligence Political Science Ethics

Completed an intense interdisciplinary study with a technical focus in Data Science and software and an analytical focus on the economy, state and society. Many courses could not be included below due to volume. All courses below were taken at the Junior-Senior level unless otherwise noted.

Computer Science Coursework

  • Machine Learning (Graduate-level): Modern ML methods, including SVMs, NNs, decision trees, and ensembles
  • Sequential Decision Making (Graduate-level): Reinforcement learning, knowledge representation, and planning
  • Database Systems: SQL, distributed systems, relational database design and optimization
  • Probability Theory: Mathematical foundations of probability theory

Economics Coursework

  • Advanced Econometrics (Graduate-level): Statistical modeling and regression analysis for economic data
  • Game Theory: Strategic decision-making, Nash equilibria, and mechanism design
  • Microeconomic Theory: Consumer behavior, market structures, and welfare economics
  • Macroeconomic Theory: National economic models, monetary and fiscal policy

Philosophy Coursework

  • Civil Liberties (Pre-law): 1st amendment freedom of religion, speech, press, assembly and association
  • Constitutional Law (Pre-law): Judicial review, separation of powers, due process, and equal protection
  • Modern Philosophy: Consciousness, philosophy of the mind, and the nature of cognition
  • Social Justice in Latin America: Historical identity, revolution, democracy, and populism
  • Global Poverty: Theories of harm, poverty, and duty in global relations
  • Religion and Human Rights: Theoretical religious foundations and applications in society

Academic Awards & Honors

Scholar

Jack Kent Cooke Foundation

Selected as an Undergraduate Scholar in 2018 and Graduate Scholar in 2024

Scholar

Hispanic Scholarship Fund

Selected as an HSF Scholar in 2020

Technical Skills

Programming Languages

Python, Java, Swift, Kotlin, C++, JavaScript, R, SQL, Stata

Machine Learning & AI

TensorFlow, PyTorch, Scikit-learn, Keras, OpenCV, NumPy, Pandas, SciPy, NLTK

Data & Analytics

SQL, Tableau, Snowflake, Qualtrics, PySpark, Excel, Statistical Modeling

Development Tools

Git, AWS, Jupyter, VS Code, Prompt and Context Engineering

Specialized Areas

Computer Vision, Natural Language Processing, Reinforcement Learning, Deep Learning, Statistical Analysis, Data Engineering, Algorithm Design, Knowledge-Based AI

Certifications & Additional Training

Google Advanced Data Analytics Professional Certificate

View certificate

  • Statistical analysis and hypothesis testing
  • Regression modeling and machine learning
  • Data cleaning and exploratory data analysis
  • Data visualization and stakeholder communication
  • Project planning and execution in data science