Professional Experience

Experience

2025-03 — now Current

Machine Learning Engineer - Freelance

Alvea Soluciones Tecnológicas Remote

Development of AI agents

Responsibilities

Development of agents

Key Accomplishments

Development of two MVPs in two weeks with which to offer to possible customers

Python

Graph databases

Gremlin

2024-12 — 2025-03

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

Python

LangChain

PostgreSQL

PGVector

React

Kubernetes

Docker

GitHub Actions

2024-09 — 2024-11

AI tech lead

Bravent Remote

Two months stopped because I didn't have access to Azure and because they specifically asked me not to develop until I had access to Azure. One month scaling a development that stopped.

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.

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

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.

Python

Pytorch

YOLO

Altium

STM32

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.

Altium

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.

Altium

MPLAB

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maximofn@gmail.com

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