Experience
HappyScribe
May 2024 - Current
Software Engineer
- Led end-to-end development of high-impact features, from user interviews and architecture design to implementation and deployment.
- Balanced speed and quality to align product goals with technical constraints.
Oculo
Oct 2023 - May 2024
Senior Computer Vision and Machine Learning Engineer
- Developed and implemented SLAM algorithms using inertial odometry data.
- Processed data from 360 cameras in construction environments.
Naska.AI (formerly Scaled Robotics)
Feb 2020 - Oct 2023
Senior Software Engineer
- Developed cutting-edge computer vision features for point cloud to BIM analysis using terrestrial laser scanners.
- Extracted valuable information from BIM models while collaborating closely with professionals in Architecture, Engineering, and Construction domains.
- Migrated our infrastructure from local-based processing to a microservice-based approach with AWS
- Implemented robust CI/CD procedures, significantly accelerating delivery cycles and ensuring seamless deployments.
- Thrived in a dynamic, multidisciplinary, diverse, and international team environment.
Education
Universitat Politècnica de Catalunya
2015 - 2020
Doctor of Philosopy - PhD
PhD Thesis “Learning to Extract Features for 2D – 3D Multimodal Registration”
- Excellent Cum Laude
- FPU 2014 Government Grant
Main publications:
Pujol-Miro, Alba, Josep R. Casas, and Javier Ruiz-Hidalgo. "Correspondence matching in unorganized 3D point clouds using Convolutional Neural Networks." Image and Vision Computing 83 (2019): 51-60.
Pujol-Miro, Alba, Javier Ruiz-Hidalgo, and Josep R. Casas. "Registration of images to unorganized 3D point clouds using contour cues." 2017 25th European Signal Processing Conference (EUSIPCO). IEEE, 2017.
Universitat Autònoma de Barcelona
2014 - 2015
Master in Computer Vision
- Fundació La Pedrera Grant
Universitat Politècnica de Catalunya
2010 - 2014
Audiovisual Systems Engineering
- With honors