1.Build and maintain restAPI with Django and Flask 2. Data adquisition system with RS232 and MODBUS 3. Create docker images and deployment with docker compose 4. Train and evaluate machine learning and deep learning models 5. Object monitor using OpenCV 6. Person tracker 7. COVID-19 pandemic project: one-way monitor, line monitor. 8. Urban sound classifier using RandomForest 9. Detect when a machine is broken based on the sound that emmits

Social network related to soccer 1. Build and mantain GraphQL API with Django and Celery 2. AWS: Lambda, API Gateway, RDS, Route 53, EC2, SNS, S3, VPC Networking, ECR, Cognito 3. Define microservice archtiecture for backend components: Django, Celery, FastAPI - Intel IOTG USA Role Tech Lead AI models running on edge devices (AI pipelines) generates real-time data and emmits a video signal with inferences. The real-time data and video stream must be showed in a browser. The real-time data must be stored in a DB for analytics. Some of the AI models needs an alerting system for eg. a weapon detector.

This role it required skills as Web Developer The main activity was to develop new features for the website - Design and implement Back-End tasks as new services, new filters and new models for Data base.