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Jorge M. AI, Deep Learning and NLP Platforms

My name is Jorge M. and I have over 5 years of experience in the tech industry. I specialize in the following technologies: Deep Learning, Neural Network, Natural Language Processing, Reinforcement Learning, TensorFlow. I hold a degree in , , , , . Some of the notable projects I've worked on include: Mobile diffusion, LLM-transformer research, HashNeRF, 3D cloud point semantic instance recognition, GANs to replace real human faces in pictures by fake ones.. I am based in Pinto, Spain. I've successfully completed 5 projects while developing at Softaims.

I value a collaborative environment where shared knowledge leads to superior outcomes. I actively mentor junior team members, conduct thorough quality reviews, and champion engineering best practices across the team. I believe that the quality of the final product is a direct reflection of the team's cohesion and skill.

My experience at Softaims has refined my ability to effectively communicate complex technical concepts to non-technical stakeholders, ensuring project alignment from the outset. I am a strong believer in transparent processes and iterative delivery.

My main objective is to foster a culture of quality and accountability. I am motivated to contribute my expertise to projects that require not just technical skill, but also strong organizational and leadership abilities to succeed.

Main technologies

  • AI, Deep Learning and NLP Platforms

    5 years

  • Deep Learning

    4 Years

  • Neural Network

    1 Year

  • Natural Language Processing

    1 Year

Additional skills

  • Deep Learning
  • Neural Network
  • Natural Language Processing
  • Reinforcement Learning
  • TensorFlow

Direct hire

Potentially possible

Previous Company

Freelance

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Experience Highlights

Mobile diffusion

An implementation from scratch of a diffusion model to be used in mobile devices.

LLM-transformer research

From scratch implementation of a transformer model in a GPT configuration that I use for research purposes. It was trained to generate code in kotlin.

HashNeRF

An implementation of HasHNerf in Pytorch.

3D cloud point semantic instance recognition

Create a solution to automatize the obtention of BIM models from scanned point clouds with Machine Learning. The goal of this project was to develop a solution capable of processing geometries represe

GANs to replace real human faces in pictures by fake ones.

I build a full prototype from scratch using GANs and other CV libraries to replace human faces in photos by fake ones generated with GANs. I used styleGAN to keep the nuances of the real faces, so whe

Education

  • UNED

    in Maths

    2020-01-01-2024-01-01

  • EOI | Escuela de Organización Industrial

    in Master of Business Administration (MBA)

    2011-01-01-2012-01-01

  • Universidad Carlos III of Madrid

    in Bachelor's degree in Computer Science Engineering

    2001-01-01-2006-01-01

  • Universidad Carlos III of Madrid

    in Master's degree in Computer Science and Information Technology

    2007-01-01-2008-01-01

  • Universidad Carlos III of Madrid -

    in Ph.D. in Computer Science and Artificial Intelligence

    2008-01-01-2011-01-01

Languages

  • English (Fluent)
  • Spanish (Native or Bilingual)