About me
With a deep-rooted passion for Computer Vision, I bring a wealth of experience from designing and implementing AI projects for renowned companies like Bosch, Altran Group, Smart, HP, Petrobras, Volkswagen, Vale mining, and the Colombian Petroleum Company. My expertise spans from traditional image recognition to advanced object detection, semantic segmentation, and the application of deep learning models. Whether for research or commercial applications, I have consistently contributed to the advancement of Industry through innovative Computer Vision solutions, enhancing both process efficiency and product quality in various industries.
Sr. Computer Vision & AI Research Engineer
AI must prioritize interpretability and explainability, ensuring transparency in its ethical considerations, learned patterns, and bias.
- Based in: Porto, Portugal
- PhD (in progress): Aerospace Engineering (AI & CV)
- MSc: Computer Science
- MSc: Project Management
- Age: 36
- University: IST, Portugal
- University: UFBA, Brazil
- University: UNINI, Puerto Rico
- Languages: English, Portuguese, Spanish
Facts
Difficulty in a project can arise from factors such as cost, time, and human resources, but it does not inherently indicate complexity. A complex project is characterized by ambiguity and uncertainty, surrounded by unpredictability. However, it is through navigating these complexities that we uncover the true potential and progress of a project.
Skills
In the ever-changing landscape of today's world, the nourishment of knowledge is akin to a constant stream of video feed, continuously fueling and enriching our skills. Just as video streams deliver real-time information, embracing knowledge empowers us to adapt and thrive in both our personal and professional endeavors.
Resume
With over 7 years of expertise in Machine Intelligence and Computer Vision, I have successfully tackled real-world challenges across diverse industries. My experience spans Robotics for Smart Industries, Intelligent Transportation Systems, Embedded Systems, Aerial and Satellite Imaging, Biomedical applications, Cloud computing, Embedded Systems, Autonomous vehicles, Manufacturing, Banking, and Security Systems. To explore further details about my qualifications, please find the PDF version of my resume attached here
Education
PhD in Aerospace Engineering
2023 - Currrently
Instituto Superior Técnico - Universidade de Lisboa (Portugal)
Title to be defined
GPA: in progress
MSc in Computer Science
2016 - 2018
Universidade Federal da Bahia (Brazil)
Proposed a tool for building multi-purpose and multi-pose synthetic 2D/3D data sets.
GPA: 3.78/4.0
MSc in Design, Operation and Project Management
2015 - 2017
European University of the Atlantic (Spain)
Iberoamerican International University (Puerto Rico, USA)
Analysis of the current state of competitiveness of companies in the digital photographic sector in Barrancabermeja, Colombia.
GPA: 3.58/4.0
Systems Engineering
2004 - 2011
Universidad Industrial de Santander (Colombia)
Design and develop a system to manage projects based on the PMBok. Java EE.
GPA: 3.14/4.0
Professional Experience
Senior Research Engineer - Computer Vision & AI
Oct/2021 - Currently
Bosch Security Systems (Portugal)
In a dynamic Scrum environment, I spearheaded the development of a robust AIoT machine vision platform tailored for industrial applications. This groundbreaking platform serves as the foundation, incorporating cutting-edge machine vision modules for multi-domain and multi-modal 3D and 2D systems. Furthermore, it seamlessly integrates with embedded platforms, ensuring versatility and adaptability in diverse industrial settings.Chief Technology Officer - Computer Vision & AI & Management
Oct/2021 - Currently
UbiHPC (Colombia+USA+UK)
Technology leader in deep-tech software development in aerospace projects, AIoT, or autonomous systems.Advanced Research Engineer - Computer Vision & AI
Jan/2020 - Oct/2021
VORTEX-CoLab (Portugal)
I have a proven track record of building AI project pipelines from the ground up. Notably, I have implemented robust object detection and panoptic segmentation techniques specifically tailored for European autonomous vehicle environments. Additionally, I have successfully deployed embedded systems equipped with Google Coral USB for automatic labeling, as well as integrated advanced technologies like LOAM, 3D cluster segmentation, and fish-eye image processing for accurate segmentation and 3D Box estimation.Research Engineer - Computer Vision & AI
Jun/2018 - Jan/2020
Brazilian Institute of Robotics - CIMATEC (Brazil)
I specialize in developing and deploying cutting-edge solutions for Industry 4.0, enabling digital transformation in real-world industrial, civil, and open pit mine environments. By leveraging my expertise, I have successfully implemented innovative solutions that optimize operations, increase efficiency, and drive productivity in these dynamic settings.Student Researcher - Computer Vision & AI
Jul/2016 - Jul/2018
IVision Lab - Federal University of Bahia (Brazil)
During my academic journey, I actively engaged in diverse projects encompassing the fields of Smart Cities, Intelligent Transportation Systems, and Medical Image Processing. As a student, I applied my knowledge and skills to tackle complex challenges in these domains, exploring innovative solutions and contributing to advancements in these cutting-edge fields.Project planner and controller - Management
Jan/2012 - Dec/2015
CMK/PB LTDA/GIP SAS - Oil & Gas (Colombia)
I have a strong background in design, planning, and control of engineering and consulting projects. Throughout my experience, I have successfully managed large teams, ensuring efficient coordination and timely completion of tasks. By employing effective project management strategies, I have consistently delivered high-quality results while adhering to strict schedules and project requirements.Systems engineer - Software & Management
Apr/2011 - Dec/2011
Industrial University of Santander (Colombia)
I have hands-on experience in designing and developing comprehensive project management systems based on the PMBOK (Project Management Body of Knowledge) principles. Leveraging my proficiency in Java EE and C++ languages, I have successfully crafted robust and efficient systems that facilitate seamless project planning, execution, and control. These systems enable effective collaboration, resource allocation, and progress tracking, ensuring optimal project outcomes and adherence to industry-standard practices.Projects
Computer Vision is an ever-evolving field that has seen remarkable advancements, particularly with the
dominance of CNNs (Convolutional Neural Networks) across various applications. Each year, new breakthroughs
emerge, pushing the boundaries of performance benchmarks and compelling professionals to stay abreast of the
latest solutions. Research is integral to the application of AI techniques, and the ability to adapt these
techniques to specific project requirements is a testament to the versatility of applied researchers.
The following list showcases my experience in Computer Vision projects, excluding those subject to
non-disclosure agreements (NDAs).
- All
- Entrepreneurship
- Industrial
- Purely Academic
Trust in Space - Blockchain-based data exchange community
QSentinel - AI Video Analytics for collaborative companies
GeNFTs - NFT collection of images + music built with genetic data/p>
Steroid - Edge computing for AIoT
Argus - AI-powered labeling for ADAS
Automatic BIM qualification for civil works - Mobile App
Samsung batteries qualification
Intelligent measurement of concrete volume
Kamino - Perception in open-pit mines
Geonosis - Mineral qualification in open-pit miness
Flatfish - Rotated box detection from sonar data
Open-set Face Recognition
Faster alpha-expansion
Tool for Building Multi-purpose and Multi-pose Synthetic Datasets
Teeth segmentator from X-rays
GetIn - Intelligent traffic management
Research Lines
Centered around Computer Vision in the AI research landscape, I channel my expertise into diverse fields such as industrial robotics, embedded systems, space resources, biomedics, and the AI of Things. This has led to revolutionary advancements in their visual interpretation capabilities. Simultaneously, I leverage Machine Learning to enhance Recommendation Systems using image-based insights. My overarching goal is to harness the power of Computer Vision to drive innovation and deliver ground-breaking solutions across these various sectors.Industrial Robotics & Autonomous Systems
Industrial and Service Robotics. On-premise, embedded or cloud solutions for Perception, Cognition and Action inference
AeroSpace
Causal AI Enhances Methane Retrieval from Satellites; AI and Blockchain Foster Secure, Traceable Communications in Space Sector.
Genetics and Blockchain
Machine Learning is applied to DNA sequences to reveal images as unique as the species themselves
Customer Behaviour
AI models analyze people behavior in retail store or hospitals, from real-time video of common surveillance cameras
Biomedics
Analysis of data from biomedical sensors such as X-ray and ultrasound machines, electrocardiographs, infusion pumps, etc.
Explainable AI (XAI)
Interpretability is crucial to build confidence and characterize model accuracy, fairness, transparency, and outcomes in decision making of AI models
Contact
Available as a consultant in Computer Vision & Artificial Intelligence. I do not work in the military sector.
Location:
Based in Portugal
Email:
marcoruizrueda@gmail.com
Call:
+351 938 460 930