João Gamboa

About Me

João António Gamboa Marques

5th Year Mechanical Engineering Student at University of Aveiro

  • Age: 23
  • Education: B.Sc., Mechanical Engineering
  • University: University of Aveiro
  • Nationalities:Portuguese & Spanish
  • Languages: Portuguese Native • English C1 • Spanish B2
  • Email: gamboa.marques@ua.pt

Organization and proactivity are my focus and guiding philosophies.

Through them, I strive to add value to everything I engage in.

Activities and Interests

Throughout my academic journey, I played an active role in student associations, fostering collaboration, leadership, and contributions to student life.

I was on various handball teams for a decade, which allowed me to develop teamwork, resilience, and discipline crucial for thriving in engineering.

Furthermore, my passion for data science and machine learning (ML) transcends the classroom, with applications in my master's thesis and my day-to-day life.




Handball handball

Over 10 years of experience competing at the Federation level

Motorsport 🏁

Competed in Motostudent-Spain and CNV-Portugal

Machine Learning 🧠

Currently developing my Data-Science and Coding skills

Podcasts and Reading 📖

Interested in Business, Economics, Philosophy, Startups

Skills

SolidWorks

Inventor

Abaqus

Python

Excel

Ultimaker Cura

Illustrator

Photoshop

Resume

ACADEMIC EDUCATION

B.Sc., Mechanical Engineering

2019 - 2022

University of Aveiro, PT

    My engineering degree journey began with a solid foundation in fundamental sciences and engineering principles, progressively transitioning into an interdisciplinary integration of knowledge and industrial project experience.

M.Sc., Mechanical Engineering

2022 - Present

University of Aveiro, PT

    In my Master's program, there was a significant emphasis on hands-on practice and project-based learning. Throughout, I took on leadership roles, guiding teams through various projects that spanned R&D, manufacturing, and the integration of machine learning techniques.

Dissertation
Parameter Identification of Elastoplastic Constitutive Laws using Machine Learning Techniques
Work in progress

University of Aveiro, PT

    Training and testing XGboost-based machine learning models to predict the material constitutive parameters for sheet metal forming, characterizing the plastic behaviour of metallic sheets.

Paper - ESAFORM 24
Influence Of Data Filtering And Noise On The Calibration Of Constitutive Models Using Machine Learning Techniques
Toulouse, FR - Apr. 2024

In: Materials Research Proceedings, Volume 41, pp. 1807–1816.
DOI: 10.21741/9781644903131

Conference - TEchMA 24
Presenter at TEchMA 2024 International Conference
Technologies for the Wellbeing and Sustainable Manufacturing Solutions
Aveiro, PT - Jun. 2024

Abstract: Parameter Identification of Elastoplastic Constitutive Laws using Machine Learning Techniques, pp. 84.
DOI: 10.48528/MEHV-Z227

PROFESSIONAL BACKGROUND AND PROJECTS

Vulkan Additive Solutions - Co-Founder

Feb 2024 - Moment

Remote, PT

  • Mechanical project design and material properties research focused on reducing costs and development time.

COFICAB - Processes Development Specialist Trainee

Jul 2024 - Aug 2024

Guarda, PT

  • Acquired comprehensive knowledge of cable development, including its definition, testing, and manufacturing processes.

Motochanics - Data Analyst

Oct 2023 - Present
  • After competing in Aragon, Spain, I transitioned to the racing department, where I now provide essential engineering support for the motorcycle in the PREMOTO3 category at CNV Portugal.
  • Currently serving as a telemetry data analyst, analyzing trajectories and on-track driver behavior to provide detailed feedback and strategic recommendations for enhanced performance and competitive advantage.

Jerónimo Martins Ambassador

Oct 2023 - June 2024

Lisboa, PT

  • Bridged the gap between the university and the company by organizing presentations about the company's culture, vision, and student programs.

Rodrimaq CNC Operator Trainee

July - Aug 2023

Aveiro, PT

  • Functioned as a CNC operator, honing practical machining skills. Engineered and manufactured components for clients, addressing technical challenges, problem-solving and ensuring precision.

Mobility Operational Services - Co-Founder/R&D

2019 - Oct 2023
  • Developed an innovative wheelchair add-on to enhance mobility and presented it to stakeholders, strengthening negotiation skills.

Motochanics - R&D

2019 - Oct 2023
  • Developed, dimensioned and manufactured a chassis for a racing motorcycle. Led parts manufacturing with external companies, fostering teamwork, CAD, CAM, FEA. Competing Internationally.

Portfolio

Welcome to my portfolio! Here, you'll find a showcase of my recent and most impactful projects. Each project reflects my dedication to innovative design, cutting-edge technology, and a passion for solving complex problems.