Remote
Key accomplishments
Bachelor’s degree in Electrical Engineering – 17.3/20.0
- I specialized in Energy and Automation with three honors. One of these honors recognized me as the top student in my bachelor’s program, while the other two acknowledged my excellence in two distinct subjects within Physics.
- Top-ranking student – 17.3/20.0 (A on European Comparability of Results Scale).
- 2022 – Diploma of Merit.
- 2020 – Honour ‘Prémio Francisco da Fonseca Benevides 2020’.
- 2019 – Honour ‘Prémio Francisco da Fonseca Benevides 2019’.
Master in Artificial Intelligence – 8.40/10.00
- I specialize in Machine Learning, Computational Intelligence, Data Science, and Knowledge Engineering. My academic journey led to the honor of being entrusted with a thesis centered on Deep Learning, which I am currently working on. The goal is to employ state-of-the-art techniques to forecast diagnoses in patients with Diabetic Retinopathy from the Institut Clinic d’Oftalmologia of the Hospital Clinic de Barcelona.
Data Scientist – Javis – Vicenza, Italy
- I am currently a voluntary Data Scientist at Javis, having helped raise 100,000€ for the startup’s initial stages. In my role, I am tasked with route optimization strategies for Italian transportation companies.
Software Developer – AI Trainer – DataAnnotation – New York, USA
- I worked on 5 projects for one month as an AI trainer at DataAnnotation, focusing on evaluating the performance of AI models. My main task was to assess the models’ responses according to predetermined metrics.
Role 1
Deep learning engineer
Role 2
Machine learning engineer
Test Score
AI, Machine learning, Data Science
100%
Unspecified
Any
Junior
Portugal
Any
NA
Education
-
September 1 2022 - Present
Universitat Politècnica de Catalunya - Barcelona, Spain
Master in Artificial Intelligence
I am in the final stages of my Master in Artificial Intelligence, specializing in Machine Learning, Computational Intelligence, Data Science, and Knowledge Engineering. Throughout my program, I have delved deep into the practical application of AI to solve real-world problems, from data preprocessing and analysis to the development, training, and validation of ML algorithms (classification, clustering, regression, DL, among others). My remarkable academic journey and communication skills led to the honor of being entrusted with a thesis centered on Deep Learning, to employ state-of-the-art techniques to forecast diagnosis in Diabetic Retinopathy patients.
-
September 1 2018 - June 1 2021
Instituto Superior De Engenharia De Lisboa - Lisbon, Portugal
Bachelor's degree in Electrical Engineering
Throughout my academic journey, I achieved two prestigious honors in physics (2019 - 19.0/20.0; 2020 - 19.4/20.0), acknowledging my standing as the best student in my class. Additionally, I was honored with the Diploma of Merit by the university, acknowledging my excellence as the top-ranking student in Electrical Engineering (17.3/20.0 (A) European Comparability of Results Scale).
Experience
-
January 19 2024 - February 19 2024
DataAnnotation
Software Developer - AI Trainer
-
January 1 2024 - Present
Javis
Data Scientist
Portfolio
Languages
Spanish,
English,
Portuguese,
Italian
Honors & awards
-
2022
Diploma of Merit
Diploma of Merit awarded by the Instituto Superior De Engenharia De Lisboa (ISEL) and Santander Bank for the distinction as the best student in the Degree of Electrical Engineering in the academic year 2021/22.
-
2020
Honour 'Prémio Francisco da Fonseca Benevides 2020'
Honourable Mention, 'Prémio Francisco da Fonseca Benevides 2020', awarded by the Instituto Superior De Engenharia De Lisboa (ISEL) for the classification of 19.0/20 (A) marks (Theory - 19.0, Practice - 19.0) in the subject of Electromagnetism, in the academic year 2019/2020.
-
2019
Honour 'Prémio Francisco da Fonseca Benevides 2019'
Honourable Mention, 'Prémio Francisco da Fonseca Benevides 2019', awarded by the Instituto Superior De Engenharia De Lisboa (ISEL) for the classification of 19.4/20 (A) marks (Theory - 20.0, Practice - 18.0) in the subject of Mechanics and Thermodynamics, in the academic year 2018/2019.