Pau is available for hire

Pau Carré Cardona

Verified Expert in Engineering

Machine Learning Developer

Location

Palma de Mallorca, Spain

Toptal Member Since

July 4, 2023

Pau is a seasoned data scientist with remarkable computer vision and NLP expertise and a proven track record of developing large-scale AI systems and implementing them at scale. As an invited speaker at the prestigious O'Reilly AI Conference in New York, he showcased his ability to captivate and inform technical and business audiences. Pau excels in communication, fostering effective collaboration across diverse disciplines and cultural backgrounds, and delivering high-value software solutions.

Artificial Intelligence (AI)Computer Vision Machine Learning Deep Learning Linux Python Amazon Web Services (AWS)PyTorch Robot Operating System (ROS)Robotics Software Engineering .NET Java Autodesk Fusion 360

Portfolio

Zendesk

PyTorch, Machine Learning, Data Science, Python, Artificial Intelligence (AI)...

Coalescent Mobile Robotics

Robot Operating System (ROS), Python, Artificial Intelligence (AI), Frameworks...

Zalando

Deep Learning, Machine Learning, Python, Artificial Intelligence (AI)...

Experience

Linux - 15 years Python - 10 years PyTorch - 6 years Machine Learning - 6 years Deep Learning - 6 years Data Science - 5 years Robotics - 2 years Robot Operating System (ROS) - 2 years

Availability

Part-time

Preferred Environment

Linux

The most amazing...

...eCommerce image similarity feature I've worked on pioneered the adoption of AI in the fashion industry, starting as early as 2016.

Work Experience

Senior Machine Learning Engineer

2021 - PRESENT

Zendesk

Automated ticket reply templates to improve the productivity of agents.
Performed machine learning improvements in search to improve semantic search.
Developed machine learning services, data science, and deep learning code.

Technologies: PyTorch, Machine Learning, Data Science, Python, Artificial Intelligence (AI), Frameworks, Computer Vision

Robotics Engineer

2019 - 2020

Coalescent Mobile Robotics

Implemented real-time human detection and avoidance with exceptional precision utilizing advanced Intel D435 sensors, yolact++, PCL, and OpenVDB and STVL technologies.
Achieved reliable robot localization through the seamless fusion of scan data and advanced object detection algorithms using the power of ROS2.
Revolutionized automatic robot localization by harnessing the potential of high-resolution cameras. Employed the groundbreaking Facebook AI Similarity Search (FAISS) in the embedding space.
Contributed to navigation by leveraging the robust capabilities of Nav2, including odometry and controller modules, to achieve unparalleled accuracy in robot navigation while implementing advanced behavioral planning using behavior trees.

Technologies: Robot Operating System (ROS), Python, Artificial Intelligence (AI), Frameworks, Computer Vision, Image Processing

Applied Data Scientist

2018 - 2020

Zalando

Developed style-similarity to complete fashion collections using style-transfer style embeddings. Automated discovery and classification of fashion trends using clustering on hierarchical embedding spaces.
Implemented few-shot classification using variational autoencoders and GANs.
Built a groundbreaking framework that seamlessly combines recommendations from diverse sources and distributions into a unified, homogeneous system.

Technologies: Deep Learning, Machine Learning, Python, Artificial Intelligence (AI), Frameworks, Computer Vision, Image Processing

Applied Data Scientist

2015 - 2018

Hudson's Bay Company

Created an unsupervised image similarity system to generate automated product recommendations.
Built systems to predict product facets using deep neural networks based on NLP and image detection.
Expanded pixel-level image segmentation for garments.
Developed a rule-based recommendation system as part of my role.

Technologies: Deep Learning, Machine Learning, Data Science, Python, Artificial Intelligence (AI), Frameworks, Computer Vision, Image Processing

Senior Software Engineer

2015 - 2015

Zynga

Developed .NET infrastructure and tooling to test video games for mobile devices automatically.
Built a Java server to orchestrate the execution of integration tests in mobile devices.
Maintained and monitored the testing infrastructure.

Technologies: .NET

Team Lead Software Engineer

2012 - 2014

Nomad Automate

Implemented and spearheaded the core development of Nomad OSS, a specialized geographic information system (GIS) for microwave networks tailored specifically for telecom operators, leveraging Java.
Architected and led the core development of DCN Wizard, an advanced Java desktop application to configure and validate data communication networks (DCN) through an intuitive visual representation of the network.
Pioneered the creation of a cutting-edge, model-driven Java (GWT) web front end for Nomad OSS to enable telecom operators to manage and optimize their network infrastructure seamlessly.

Technologies: Java

Head of IT

2009 - 2011

Municipality of Pollença

Managed networking and system administration employees.
Developed several internal Java web applications to automate internal government administrative procedures.
Automated and self-verified Windows Server and network administration processes achieved through cutting-edge mechanisms.

Technologies: Microsoft Servers, Java

Security Software Engineer

2007 - 2009

Soffid

Implemented model-driven development techniques to create a highly scalable Java EE web application capable of efficiently managing identity and access control for corporate systems.
Engineered distributed Java agents with robust synchronization capabilities, enabling seamless propagation of credentials and access control rules across various interconnected systems.
Built a Java desktop application that leverages smart card technology to securely sign content and validate digital signatures, ensuring the utmost integrity and authenticity of data.

Technologies: Java, Cryptographic Protocols, Accredible Credential API

Experience

AI for Fashion Industry

https://www.oreilly.com/library/view/oreilly-artificial-intelligence/9781491976289/video311848.html

This project seamlessly integrates machine learning and deep learning technologies within the fashion and eCommerce sectors. The primary objectives encompass automated tagging and image similarity-based recommendations. Remarkably, this initiative pioneered the adoption of artificial intelligence in the industry, starting as early as 2016.

Robot Arm From Scratch

https://www.youtube.com/watch?v=uqI_j1Ziaoc&list=PLZx8jDELltyFXH5rgVqxvLg4pokd7oDY3&index=2

I designed and constructed a SCARA and a mobile robot, encompassing a wide range of tasks such as mechanical design, 3D printing, electronics, assembly, embedded programming, artificial intelligence, kinematics, and control.

The mechanical design was executed proficiently using Fusion 360, while computer vision and deep learning techniques were applied to understand 3D space comprehensively. I also employed multicore FreeRTOS and ESP32 for the embedded programming aspect of the project.

Education

2001 - 2006

Master's Degree in Computer Science

Universitat Politècnica de Catalunya - Barcelona

Certifications

FEBRUARY 2019 - PRESENT

Modern Robotics, Course 5: Robot Manipulation and Wheeled Mobile Robots

Northwestern University (via Coursera)

FEBRUARY 2019 - PRESENT

Modern Robotics, Course 2: Robot Kinematics

Northwestern University (via Coursera)

FEBRUARY 2019 - PRESENT

Modern Robotics, Course 1: Foundations of Robot Motion

Northwestern University (via Coursera)

OCTOBER 2016 - PRESENT

Robotics: Perception

University of Pennsylvania (via Coursera)

Skills

Languages

Python, Java

Libraries/APIs

PyTorch, Accredible Credential API

Paradigms

Data Science

Platforms

Linux, Amazon Web Services (AWS)

Other

Machine Learning, 3D Printing, Deep Learning, Artificial Intelligence (AI), Frameworks, Computer Vision, Image Processing, Robot Operating System (ROS), Robotics, Software Engineering, Mathematics, Physics, Microsoft Servers, Cryptographic Protocols

Frameworks

.NET

Tools

Autodesk Fusion 360

Collaboration That Works

How to Work with Toptal

Toptal matches you directly with global industry experts from our network in hours—not weeks or months.

Share your needs

Discuss your requirements and refine your scope in a call with a Toptal domain expert.

Choose your talent

Get a short list of expertly matched talent within 24 hours to review, interview, and choose from.

Start your risk-free talent trial

Work with your chosen talent on a trial basis for up to two weeks. Pay only if you decide to hire them.

Top talent is in high demand.

Start hiring