Marcelo Gonçalves

I'm

About

Hello! 👋 I'm a Machine Learning and AI professional, currently working at Critical TechWorks as a Data Scientist and Data Engineer. I develop machine learning models to drive innovation in the automotive industry 🚘. While my academic foundation lies in physics, I've cultivated—and continue to refine—a suite of computing and coding skills 💻, the majority of which I've acquired through self-directed learning. As I navigate the next phase of my life 🚀, I'm intently focused on carving out a career centered around machine learning. Eager to continually learn and adapt, I approach each new challenge with enthusiasm and curiosity 🔍, as I continue to find my path and purpose 🛤️.

📍 Lisbon, Portugal

Linkedin

Interests

Artificial Inteligence

Machine Learning

Automation

Natural Language Processing

Scripting

Data Science

Astronomy

Simulation

Education

IST - University of Lisbon

MSc in Engineering Physics

Sept 2018 - Nov 2023

Relevant Coursework

Computational Physics
Object Oriented Programing

University of Twente

ERASMUS MSc in Applied Physics

Sept 2021 - Feb 2022

Relevant Coursework

Machine Learning
Data Science

South Tower, IST, Lisbon 20.05.2023

Experience

Data Scientist @ Critical Techworks

April 2024 - Present

Develop Machine Learning Models into Production

Applied Python, signal processing, and feature engineering on UWB radar sensor data to improve model accuracy.
Designed and trained XGBoost and CNN models for advanced in-vehicle sensing, achieving a 10% performance increase.
Familiar with supervised learning on real-time sensor data; exposure to model optimization techniques for constrained environments; deployed quantized TensorFlow Lite Micro models to embedded systems.

Drive Core Unit CTW

Teaching Assistant @ IST

February 2023 - July 2023

University Teaching

Leading tutorial sessions on the courses Mechaniscs and Waves and Physics-I.
Assisting in the preparation and correction of exams for both courses.
Facilitating doubt sessions, addressing students' queries and clarifying course content.

Summer Internship @ LIP

June 2020 - September 2020

Exploring the Fast Evolution of QGP

Simulation of interactions between jets and the QGP medium, using a jet quenching Monte Carlo event-generator.
Examination of the dependence of jet energy loss distribution on parameters like initial temperature (Ti), initialization time (τ0), and the medium's evolution profile.
Work at the internship culminated in a research paper, which you can find here.

Academic & Extracurricular Engagements

AAAI Conference @ San Francisco

March 2023

Presented a poster at the AAAI Spring Symposium on Computational Approaches in Scientific Discovery in San Francisco, USA. The poster titled "Machine Learning for Optimizing Plasma Resource Utilization on Mars" showcased the work from my Master's thesis, where I applied machine learning techniques to optimize plasma CO2 dissociation in simulations.
You can find the poster here.
For a deeper insight into the subject of my Master's thesis, I invite you to watch this video.

ESSAI & ACCAI European Summer School

July 2023

Participated in intensive workshops and hands-on sessions on the latest advancements in AI and Machine Learning.
Among other fascinating topics, I learned advanced skills in AutoML, delved into Uncertainty Quantification, and deepened my understanding of LLMs.
I had the opportunity to socialize and learn alongside renowned experts and top-tier students in the realm of machine learning and AI. Additionally, I had the chance to explore the lovely city of Ljubljana 🐉.