Hi, I'm MaximoFN

Passionate about Artificial Intelligence and programming. On this page you will stop seeing how to use AI and start learning how to create AI and much more in english

I hope you like it!

Come in and learn all you can

Posts

Projects

AI Dockers

Tips

Datasets

Experience

2024-01/actuality

Machine Learning Engineer - Freelance

Civir

Remote

Development of a chatbot for HoReCa (hotels, restaurants and cafes), through which cooks and waiters can talk to the chatbot to make queries about recipes and menus.

Responsibilities

Backend development with chatbot
RAG development
Implementation of agents that obtain the user's intention and execute actions
Development of React components for the user interface
Implementation of chatbot through spoken communication

Key Accomplishments

Customizable vector searches
Prompt generation using Langchain with LangChain, with information from the user's question and company information through variables

Technologies

Python
LangChain
PostgreSQL
PGVector
React
Kubernetes
Docker
GitHub Actions

2024-09/2024-12

AI tech lead

Bravent

Remote

AI Tech lead. Technical leadership, development supervision and collaboration in the correct management of technical projects. Proposal of new solutions.

Responsibilities

Technical Leadership.
Technical Decision Making: appropriate technologies.
Propose new solutions in the area/innovation.
Develop SW established standards, high complexity, short deadlines.
Development Supervision.
Collaboration for the correct management of technical projects.
Technical Risk Assessment
Assist in the resolution of technical issues.
Clear and effective communication
Keeping up to date with the latest technologies and trends in the field

Key Accomplishments

Show that it is not necessary to use Chat GPT for everything.

Technologies

Python
Pytorch
HuggingFace
Azure
Azure Machine Learning

2022-09/2024-09

Machine Learning Engineer

Sener

Tres Cantos, Madrid

Machine Learning Engineer, vision algorithms development for autonomous vehicle and leadership in RAG system to obtain documentation information

Responsibilities

Development of the set of vision algorithms for autonomous vehicle.
Leadership in the development of RAG system to obtain documentation information.

Key Accomplishments

When working on an autonomous vehicle everything has to go on an embedded device, which is not as powerful as a normal computer. So I optimized the neural networks with TensorRT, making the inference time and the necessary VRAM memory much lower, ensuring the real-time operation of the autonomous vehicle.
Development of a dataset of realistic synthetic images to train the networks for the autonomous vehicle, creating images in different environmental conditions, making the neural networks more robust.
Implementation of startup scripts for all the libraries and programs of the autonomous vehicle device. Before only one person knew how to install everything, now anyone can start the system.
Promotion of a colleague
Mentoring of interns and juniors

Technologies

Python
Pytorch
HuggingFace
TensorRT
Nvidia Jetson

2017-10/2022-07

AI and electronic engineer

Arquimea

Leganés, Madrid

AI, HW and FW development.

Responsibilities

Implementation of detection algorithms for UAV.
Development of a pilot algorithm for geopositioning without GPS.
Leadership of UAV HW and FW development.

Key Accomplishments

With the implementation of detection algorithms for UAV, we avoided having to buy a device that did such detection, saving a cost of €2000 per unit.
When I arrived, the HW and FW of each of the UAVs and ground stations was different, which meant that there were several teams developing the same functionality, in different ways. I unified the HW of the UAVs and ground stations, which reduced the cost of PCB manufacturing. It also allowed to create a common low-level FW, having to change only the high-level part, avoiding duplicate developments.
In electronic warfare environments, it is common to disable the GPS, which is lethal for UAVs, as they cannot geoposition. With the pilot algorithm for geopositioning without GPS, we managed to have a competitive advantage against our competitors.

Technologies

Python
Pytorch
YOLO
Altium
STM32
C

2014-05/2017-10

Electronic Engineer

Indra

Torrejón de Ardoz, Madrid

HW and FW development.

Responsibilities

FW development of autonomous helicopter control PCB.
Maintenance of autonomous helicopter PCB HW.
HW development of PCB with sensors for a fighter.

Key Accomplishments

Nobody wanted to take charge of the FW of the autonomous helicopter control PCB, which made the project progress very slowly. I took charge of the FW, so the project progressed much faster.
When I arrived, the startup tests of the PCBs were done by hand, since they were designed by the engineers who designed them and only tested them in the design phase. But when the project was in production, every time new PCBs were manufactured, their tests were very slow because they had to be done by hand. In the PCBs I developed, I implemented test wiring and test FW, so that the test of the PCBs was done automatically, making that when the project was in production, the tests of the PCBs could be done much faster and also could be done by more people, because it was not necessary to have personnel with a certain minimum knowledge.

Technologies

Altium
C
Eclipse

2013-01/2014-05

Intern

Indra

Torrejón de Ardoz, Madrid

Help project manager in project management. HW and FW development.

Responsibilities

Help project manager in project management.
Design tests for starting communications PCBs for air traffic controllers.
HW and FW design

Key Accomplishments

Design and documentation of tests for starting communications PCBs for air traffic controllers.
Repair of PCBs for air traffic controllers.

Technologies

Altium
C
MPLAB

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Projects

Horeca chatbot

Naviground

Subtify

View all projects -->

Do you want to apply AI in your project? Contact me!

Last posts

Create virtual environments with uv

Learn how to create virtual environments with uv, a package manager and environment for Python written in Rust, which makes it very fast. If you have had problems with the waiting times using conda, or want a faster and easier alternative to venv, enter and see how to use uv.

Make a real-time AI application with FastRTC

If you have problems making a real-time AI application, FastRTC can help you. In this post I explain how to use it.

Generate videos with Wan2.1-T2V-14B and Inference Providers

Do you want to have your own Sora, but also generate good videos? In this post I explain how to do it with HuggingFace Inference Providers and Replicate.

Last posts -->

Technologies

Python

Pytorch

HugginFace

Langchain

Ollama

Astro

Docker

Terminal

Git

Conda

HTML5

CSS3

Python

Pytorch

HugginFace

Langchain

Ollama

Astro

Docker

Terminal

Git

Conda

HTML5

CSS3

Astro

Ollama

Langchain

HugginFace

Pytorch

Python

Conda

Git

Terminal

Docker

HTML5

CSS3

Astro

Ollama

Langchain

HugginFace

Pytorch

Python

Conda

Git

Terminal

Docker

HTML5

CSS3

AI Dockers

Hugging Face spaces allow us to run models with very simple demos, but what if the demo breaks? Or if the user deletes it? That's why I've created docker containers with some interesting spaces, to be able to use them locally, whatever happens. In fact, if you click on any project view button, it may take you to a space that doesn't work.