Professional Engineering Timeline
This page is a chronological record of applied AI, research, engineering systems, and technical work across time.
It is not a project portfolio or a CV summary.
Instead, it organizes work into time-based engineering contexts, showing how systems, research directions, and applied work evolved across domains.
This page complements:
- Applied AI & Engineering — deployed systems and architectures
- Teaching — academic and educational activity
2026 — Experimental Platforms and Behavioral AI
Context: Animal behavior analysis systems (Veterinary Medicine, UDLA)
System focus: IoT + Computer Vision experimental platform for behavioral research
System overview
A hardware-software experimental platform designed for real-time behavioral data acquisition and analysis in controlled animal studies.
Engineering contributions
- Designed and integrated a mobile experimental platform for behavioral studies
- Implemented IoT modules (smart feeders, LEDs, interaction buttons)
- Developed software for device control and data acquisition pipelines
- Integrated top-view vision system for real-time tracking
- Calibrated experimental instrumentation for behavioral protocols
- Enabled real-time measurement of impulsivity-related variables
Traceable outputs
2019 – 2025 · AI for Healthcare and Neuroscience
Context: Neuroscience, biomedical AI, and clinical signal systems
Data Scientist — Faculty of Medicine, University of Chile
Neurosystems · SCIANLab · AudioBrain · Tech4Medics-Lab
EEG-based predictive modeling systems
System overview
Machine learning models for prediction of clinical outcomes using EEG and physiological signals.
Engineering contributions
- Designed predictive ML models for clinical outcome estimation
- Applied spectral analysis to EEG signals
- Modeled combined anesthetic effects using physiological + clinical data
Traceable outputs
- EEG research activities
- FONDEF ID19I10345, ID20I10371
Automated diagnostic systems (glaucoma)
System overview
ML pipeline for diagnostic support using physiological and visual signal processing.
Engineering contributions
- Developed ML pipeline based on chromatic pupilometry
- Integrated signal processing with predictive modeling
Traceable outputs
Deep learning systems for biomedical imaging
System overview
Deep learning architectures for microscopy image analysis and biomedical segmentation tasks.
Engineering contributions
- Developed RaViTT (Vision Transformer architecture)
- Built pipelines for 3D nuclei segmentation (Cell Tracking Challenge top-3 performance)
- Applied deep learning to microscopy classification problems
Traceable outputs
Biomedical imaging software systems
System overview
Research software for volumetric microscopy analysis and biological data interpretation.
Engineering contributions
- Co-developed VolumePeeler (FIJI plugin for 3D biological data analysis)
- Improved quantification and visualization of volumetric datasets
- Applied image analysis to:
- membrane deformation quantification
- embryo development tracking
Traceable outputs
Cognitive decline early detection systems
System overview
Signal-processing-based systems for early detection of cognitive decline.
Engineering contributions
- Designed audiological test system (AudioBrain)
- Investigated otoacoustic emissions as biomarkers
Traceable outputs
Population-level mental health modeling
System overview
Statistical and computational models of social and psychological datasets.
Engineering contributions
- Analyzed loneliness and social isolation in aging populations
- Applied statistical modeling to large-scale datasets
Traceable outputs
2009 – 2018 · Computer Vision and Industrial AI Systems
Context: Applied computer vision in mining, retail, and IoT systems
Applied Research Engineer — University of Chile
Smart mining vision systems
System overview
Computer vision pipelines for geological classification in industrial environments.
Engineering contributions
- Designed ML pipelines for automated lithology classification
- Developed video-based rock type estimation systems
- Adapted CV methods to industrial constraints
Traceable outputs
Retail analytics systems
System overview
Computer vision systems for supermarket monitoring and inventory analysis.
Engineering contributions
- Developed stock breakage detection systems
- Applied feature extraction and optimization methods
Traceable outputs
- INNOVA 13IDL2-23589 project
IoT geotechnical monitoring systems
System overview
Real-time telemetry systems for mining environments.
Engineering contributions
- Designed Bluetooth-based sensing systems
- Built hardware-software real-time monitoring pipelines
Traceable outputs
- CSIRO Chile collaboration
- MPES 2019
Education
PhD in Electrical Engineering — University of Chile (2020)
Focus: multiscale feature systems for image classification
ThesisDiploma in Electrophysiology — University of Chile (2019)
Bioelectric signal processingElectrical Engineering — University of Chile (2010)
Iris detection using particle swarm optimization
Thesis
Cross-domain Engineering Work
Independent systems and applied creative projects
- Independent film production (crowdfunded full production pipeline)
- Urban documentation and cultural heritage fieldwork
- Virtual university campus (Gather Town pandemic system)
- DeloreanCamara (historical image alignment system)
- Media and event photography (real-time visual systems)
Teaching and Mentorship
- Machine Learning, Computer Vision, Engineering systems
- Thesis supervision in AI and biomedical engineering
- Full pipeline education: problem → implementation → evaluation → communication
Academic & Community Engagement
Technical Stack
- Python, R, MATLAB
- PyTorch, TensorFlow, scikit-learn, OpenCV, FIJI
- Docker, Google Cloud, Huawei Cloud
Final Note
This timeline documents applied engineering work across time.
Each entry represents a context of applied systems engineering, with traceable outputs and contributions.