MJ

Hi, I am Marti Jimenez

A Computer Science Engineering Student

⭐ I'm studying CS engineering in France at the engineering school INSA of Toulouse.

🧠 I have a strong passion for algorithms and machine learning. I enjoy the challenge of solving complex problems by applying theoretical concepts to practical situations.

🚀 I'm open to exciting opportunities that match my interests and skills. If you have projects that push boundaries, encourage innovation, and require creative problem-solving, feel free to connect with me!

experience

Data Analyst

Internship - 3 months, 2024

Thales Alenia Space, Toulouse, France


• Led and managed end-to-end development of multiple internal projects, from scoping and development to testing, documentation, and deployment into production.

• Designed and implemented data-driven tools and algorithms to optimize processes, including production line optimization and resource usage, which significantly enhanced operational efficiency.

• Conducted comprehensive post-deployment analysis to gather feedback, continuously evolve the tools, and ensure alignment with business needs.


Deep Learning Researcher

Internship - 3 months, 2023

Laboratory of Pathogen and Host Immunity (LPHI), Montpellier, France


AI for High Dimensional PDE modeling in Oncology


• Developed a n-Dimensional non-linear Partial Differential Equations (PDEs) solver framework employing Physics-Informed Neural Networks (PINNs), resulting in an exponential reduction of time complexity compared to traditional methods.

• Developed the resolution of a 4D PDE model to simulate adaptive treatment response in melanoma, considering tumor cells, ECM-NE (Extracellular Matrix and Nutrient Environment), and drug interactions, with BRAF/MEK inhibitors applied based on tumor size.

• Researched and proposed 2 methods to solve interdependent systems of non-linear PDEs with PINNs.

Projects

Membership Inference Attack on CNNs


Exploring LeNet-5 privacy via data-leak-driven membership inference attacks.

  • Deep Learning Security
  • Python
  • Deep Learning

Predicting Essay Quality


Predicting essay quality based on keystroke patterns, using a combined convolutional and transformer network to prevent heavy feature engineering.

  • Deep Learning
  • PyTorch
  • Python

Satellite Pose Estimation


Complete pipeline for developing a pose estimation model, from modeling to estimation.

  • Deep Learning
  • PyTorch
  • Python

Image Retrieval with Siamese Networks


Retrieving images of the same location using key-point descriptors.

  • Deep Learning
  • Python
  • Tensorflow

Music Genre Classification


Predicting the genre of songs based on their lyrical content.


  • Natural Language Processing
  • Python
  • Deep Learning

Numerical Solutions for Poisson's Equation


Numerical solver for Poisson's Equation using Finite Difference Method.

  • Applied Mathematics
  • Julia
  • Data Visualisation

education

Master of Engineering
Computer Science

- 5th Year -

09/2020 - Today

INSA Toulouse, France

• Years 1-3: Computer Science and Mathematics
• Years 4-5: Machine Learning, Cloud Computing, Distributed Systems and Applications, Prescriptive Analytics, Big Data

Exchange Semester
Master 1

09/2023 - 02/2024

University of Twente, Netherlands

Courses:
Machine Learning I, Machine Learning II, Deep Learning, Natural Language Processing, Information Retrieval, Big Data

Skills




Frameworks & Libraries




Programming Languages




Languages

Contact

Email me
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