About Me
I am a PhD Candidate in Computer Vision at the University of Twente (Netherlands), working in the Data Management & Biometrics (DMB) group under the supervision of Dr. Estefanía Talavera. My research focuses on building deep learning and computer vision systems for automated defect detection in industrial assembly processes — making manufacturing smarter, faster, and more reliable.
Alongside my PhD, I work as an Industrial Transformation Engineer (Global) at Gunnebo Safe Storage, driving Industry 4.0 and AI-based inspection initiatives across global manufacturing sites.
My background spans Mechatronics Engineering (BSc, Universidad Autónoma del Caribe, Colombia) and Mechatronics & Micromechatronic Systems (MSc, Universidad de Oviedo / Karlsruhe University of Applied Sciences — Erasmus Mundus Joint Master Scholarship).
🔬 Research Interests
- Computer Vision for Industrial Inspection — visual quality control and defect classification in manufacturing
- Deep Learning for Defect Detection — robust ML pipelines for missing component detection
- Real-Time Vision Systems — low-latency inference integrated into production environments
- Benchmark Datasets — building annotated datasets for industrial computer vision evaluation
- AI Entrepreneurship — building technology ventures that translate AI research into real-world impact for SMEs and education
📌 News
- 2026 — PCB-MC: Missing Component Analysis in Printed Circuit Boards accepted at EUVIP 2026 — to be presented in Luxembourg
- 2026 — Survey paper on CV for missing object detection in manufacturing accepted in IEEE Transactions on Industrial Informatics (IEEE TII)
- June 2026 — Poster presentation at the Netherlands Conference on Computer Vision (NCCV 2026): PCB-MC: Missing Component Analysis in Printed Circuit Boards
- Sep 2023 — Started PhD at the University of Twente 🎓
- Aug 2022 — Joined Gunnebo Safe Storage as Automation & Digital Transformation Engineer
🛠 Current Projects
VIAS — Visual Inspection Assembly System (Gunnebo Safe Storage)
End-to-end computer vision pipeline for automated quality inspection of assembly lines. Integrates real-time defect and missing-object detection with data-driven quality analytics.
PCB-MC: Missing Component Analysis in Printed Circuit Boards
Annotated benchmark dataset to support standardized evaluation of computer vision methods for missing component detection in printed circuit boards. Accepted at EUVIP 2026 — to be presented in Luxembourg.
Survey: Computer Vision in Manufacturing for Missing Object Detection
Systematic review of state-of-the-art methods, datasets, and open challenges for CV-based missing object detection in industrial settings. Accepted in IEEE Transactions on Industrial Informatics (IEEE TII).
🚀 Ventures & Entrepreneurship
VPL — Villa Polo Labs (Co-founder, 2026)
Colombian AI & digital transformation laboratory that converts artificial intelligence into measurable results for SMEs and entrepreneurs across Latin America. Services include AI applications, web development, automation, and SEO — with a transparent, results-driven model. → app.vpl.digital
CLARA App (Developer, 2026)
AI-powered educational assistant designed to support teachers with lesson planning, content generation, and classroom workflows. Built to make AI genuinely useful in education, especially in Latin American contexts.
Robótica del Caribe (Founder)
Initiative to promote robotics, technology, and STEM education in the Caribbean region of Colombia — bringing hands-on engineering experiences to students and communities with limited access to technology.
🌍 Background & Volunteering
I am committed to making AI and engineering more inclusive. I volunteer for Women in AI and Robotics and the Organization of Women in Science for the Developing World (OWSD).
Languages: Spanish (native) · English (full professional) · German (professional working) · Dutch (limited working) · French (limited working)