juan pablo ruiz rodriguez

Designed Intelligent Tutoring System (ITS) architecture integrating affective sensing. Developed UI interactive playground module, and currently developing computer vision stress detector and cognitive module based on LLM and Inferential Statistique Analisys.

Built and deployed Python-based data and ML pipelines with Apache Airflow for production orchestration and scheduling. Integrated LLM-assisted extraction workflows within event-driven document pipelines using Kafka. Applied MLOps practices including model versioning, deployment, and monitoring for iterative experimentation. (Keywords: Kafka, Airflow, LLMs, GenAI, Document Processing, OCR).

Built and maintained scalable enterprise data pipelines leveraging Azure Data Factory, Databricks, and PySpark. Implemented model deployment monitoring and constructed semantic reporting layers in Power BI.

Contributed to cloud-based data pipelines for large-scale datasets across retail operations, sales, and logistics. Built automated ingestion and transformation workflows with cost-aware storage and compute practices. Collaborated with analytics teams to expose curated datasets and define data contracts.

Developed ML models and integrated backend/API components for applied analytics use cases

Built computer vision-based quality assurance and reporting systems. Designed and deployed real-time image processing pipelines on constrained edge devices including Raspberry Pi and Jetson Nano.

Researched digital audio technologies and developed digital control systems for analog sound processing circuits. Prototyped and tested embedded solutions for audio processing and control interfaces.