Machine Learning · Deep Learning · Mathematics

Building models that actually generalise.

MSc in Data Analysis & Engineering

About

My journey into machine learning started through mathematics, where I became fascinated by how theory translates into real-world predictive systems.

I focus on building models that not only perform well, but generalise reliably.

Currently pursuing a MSc in Data Analysis & Engineering, specialising in optimisation and deep learning.

Portrait

Experience

CEO & Technical Founder @ Neura

March 2026 – Present

Development of technology for healthcare and preventive medicine, with a particular focus on neurological conditions such as Parkinson’s disease. Led the development of the initial prototype using machine learning and full-stack technologies.

Responsible for team leadership and organizational management, including talent recruitment and development, fundraising, financial planning and oversight, regulatory compliance, and legal processes. Additionally involved in defining product strategy, establishing partnerships, overseeing operations.

PythonTensorFlowMongoDBNotionExcel

Intern @ INESC TEC

June 2026 – July 2026

Implementation and evaluation of OCTA Segmentation models. In-depth study of Uncertainty, implementing and evaluating EDL models with relevant metrics.

PythonComputer Vision

Skills

Languages

Python
Python
R
R
Matlab
Matlab
SQL
SQL

ML / DL

PyTorch
PyTorch
TensorFlow
TensorFlow
Sklearn
Sklearn

Data

Pandas
Pandas
NumPy
NumPy
Matplotlib
Matplotlib

Tooling

Git
Git
GitHub
GitHub
LaTeX
LaTeX

Relevant Side Projects

Here are the most relevant projects I have undertaken out of personal interest and initiative.

They do not include any coursework completed as part of my university studies, nor any projects developed for research or industry purposes.

Project 1

Description.

PythonPyTorchScikitLearn

Contact

Open to research collaborations, ML roles, and interesting problems.

nunes.fonseca.jc@gmail.com LinkedIn GitHub Download CV