Experience

  1. Research Scientist for AI Safety and Security

    Advai
    At Advai in London, selected from 1 out of 500 applicants, I advanced AI safety and security as a Research Scientist and Engineer by developing cutting-edge adversarial attacks for defense and facial verification systems, optimizing object detection through active learning, and leading model safety consultations, resulting in significant performance improvements and securing multimillion-pound contracts.
  2. Teacher Assistant

    University of Bristol
    Teaching Assistant for the following courses: Artificial Intelligence, Data Science, Computer Programming, and Engineering Physics, effectively teaching machine learning algorithms and programming concepts. I supervised final-year computer vision projects, provided comprehensive academic support by assisting students with exercises, debugging, and concept comprehension, and was uniquely selected as the sole TA without a PhD, showcasing my exceptional expertise and commitment.
  3. Front end Developer

    Alfrad
    Created an mobile application that worked both android and ios using Javascript using react native.

Education

  1. MEng in Engineering Mathematics with study abroad

    University of Bristol
    Achieved a 74% overall grade. I proposed a Multimodal Explaionable Fake News Detections framework.
  2. MS Artificial Intelligence

    Katholieke Universiteit Leuven
    Took an AI master’s degree in my third year at University.
Skills & Hobbies
Technical Skills
Python

Advanced

AI safety and robustness

Strong foundation

Computer vision

Proficient

Deep Learning

Expertise in CNNs, RNNs, Transformers

Hobbies
Brazilian Jiu-Jitsu

Competitive training

Salsa and Bachata Dancing
Gym
Awards
Natural Language Processing with Classification and Vector Spaces
Coursera ∙ November 2023
Completed a comprehensive course covering neural networks, vector space models, and their applications in natural language processing tasks.
Probabilistic Deep Learning with TensorFlow 2
Coursera ∙ August 2023
Completed an intermediate course focusing on probabilistic models, TensorFlow 2, and the application of deep learning techniques in uncertainty quantification.
Supervised Machine Learning: Regression and Classification
Coursera ∙ June 2023
Gained skills in building and applying machine learning models for regression and classification, with a focus on practical implementation and evaluation.
Getting Started with TensorFlow 2
Coursera ∙ April 2023
Completed an introductory course on using TensorFlow 2 for machine learning and neural networks, focusing on hands-on model development.
Theory of Gaussian Process Regression for Machine Learning
Unknown ∙ February 2023
Studied Gaussian Process regression theory, with a focus on probabilistic modeling and applications in machine learning.
Hands-On Essentials - Data Warehouse
Credly ∙ January 2021
Completed a practical course on data warehousing, covering essential concepts in data storage and retrieval for large-scale systems.
Languages
100%
English
100%
Spanish
75%
Italian