Education
Machine Learning (autodidacticism)
Nov 2023 - Oct 2024 (Lisbon, Portugal)
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Certificates:
Machine Learning, Maths & Ethics: Hands-on (IST);
Introduction to Generative AI (IBM).
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Lectures:
Artificial Intelligence (MIT);
Matrix Methods in Data Analysis, Signal Processing, and Machine Learning (MIT);
Machine Learning Techniques (IIT Madras).
Got deep into math by writing proofs on my own;
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Practice:
Participated in Kaggle competitions involving Image Recognition, Natural Language Processing, Risk Analysis and Forecasting. With that, attained the "Notebooks Expert" tier;
Mastered the application of Machine Learning Python packages, namely scikit-learn, TensorFlow, PyTorch, LightGBM and spaCy;
Had experience creating and managing databases and deploying them to a Microsoft SQL Server through Docker. Also had mild experience performing unitary tests using pytest, and deploying models and Dash apps to AWS. Further implemented FastAPI instances for that purpose.
Aerospace Engineering (MS)
Sep 2016 - Jul 2021 (Lisbon, Portugal)
- Grade: 17 (/20);
- Master's thesis: State-to-state Modelling of High-speed Nitrogen Shocked Flows , 19 (/20).
- Certificate of Completion
Engineering Physics (BS)
Sep 2013 - Jul 2016 (Lisbon, Portugal)
- Grade: 16 (/20).
- Certificate of Completion