01AI product
Aviary
Bird identification across a React PWA.
React / PyTorch / MongoDB / PWAJosemari
García Quijada
Data Engineer / AI / Computer Vision
SELECT role, company, responsibility FROM experience WHERE current = true;parseplanexecute
Result 1 row returnedVerified
- role
- Experienced Data Analyst
- company
- Minsait
- responsibility
- Data Engineering
Why it matters
I work on data engineering projects while bringing a wider background in AI and Computer Vision.
curated snapshot · experienceSelected work
Real projects across data, applied AI, healthcare, and product engineering.
01
02Model comparison
Transfer Learning in Convolutional Models
Fine-tuning MobileNetV2, EfficientNetB0 and ResNet50 for mask detection.
Keras / CNN / F1 / Webcam
03Clinical ML
Early Detection of Kidney Disease
CKD classification across eight decision models and four dataset pipelines.
Pandas / SMOTE / PCA / XGBoost
04Applied AI + eHealth
BitaHealth
ECG and HRV analysis platform.
Python / NeuroKit2 / ECG / HRV
05Computer Vision
Biomedical Segmentation with U-Net
U-Net medical image segmentation.
TensorFlow / U-Net / Dice / IoU
06Accessible edge AI
Computer Vision in Elevators
HYBLICON-II: intent-aware elevator queue intelligence.
YOLOv11-pose / PyTorch / OpenCV / Edge AIData Engineering is the core. AI gives it a wider field of view.
My current work sits in Data Engineering at Minsait, in projects for the Junta de Andalucía. That is the center of gravity. Computer Vision, Deep Learning, and product development are the wider technical background I bring to the systems built on top of the data.
CURRENT NODEACTIVE
ROLE / 001
Experienced Data Analyst
Minsait / Indra
- Function
- Data Engineering
- Project context
- Junta de Andalucía
- Perspective
- Data systems + applied AI
CAPABILITY ARCHITECTURE
One profile. Three connected layers.
Data systems
The present focus: structuring, transforming, and moving data through dependable systems.
SQL / Python / Data EngineeringApplied intelligence
A background in models that interpret images, medical signals, and real-world environments.
PyTorch / OpenCV / Deep LearningProduct delivery
The ability to carry technical work into interfaces and services people can actually use.
React / FastAPI / Product thinkingINFRASTRUCTURE BELOW · INTELLIGENCE ABOVE · PRODUCT AT THE EDGE
The next system starts with a conversation.
If you are working on data, applied AI, or a problem that needs a wider technical view, tell me what you are building. I would like to hear the context, the constraints, and the question behind it.