Montilla Alexandre

The IoT platform allows managing data from sensors and industrial assets.

I worked on:

- FullStack development of IoT platform features (VueJS using Vuetify, Serverless API using Python/Flask)

- Development of connectors (integration with Objenious and Sigfox)

Technologies: AWS (API Gateway, RDS, SQS, IAM, Lambda, DynamoDB, IoT Core, CloudFormation), Python, Flask, VueJS, JIRA

Project managed with Github Enterprise.

Development of a platform for golf courses and campsites managing golf carts with connected batteries.

As a fullstack engineer, I was responsible for several activities:

- Front-end development in VueJS with the list of fleets and their real-time management on a map

- Back-end development in Python on the AWS cloud with Lambda microservices and REST API

- Automatic integration and deployment on AWS (CICD) of the front-end and back-end with S3, Cloudfront, Route53, API Gateway

Technologies: VueJs, Vuetify, Python, AWS (Lambda, Api Gateway, S3, CloudFront, IAM, SAM serverless, RDS, DynamoDB, ACM, SSM), Gitlab

Method: Scrum

Development of a platform for Airbus data scientists. This platform allows data scientists to visualize, create, and analyze various elements related to artificial intelligence such as trainings, tuning jobs, models, and endpoint deployment.

This platform has enabled easy access to artificial intelligence at Airbus, thus saving significant time (and money).

Design was carried out from customer requirements expression to functional testing, including development in an agile context with new features every 15 days.

Technical details:

- Artificial intelligence portal development (front end and back end) in VueJs and Python.

- Use of AWS SAM serverless with Lambda, API Gateway, Fargate, RDS, DynamoDB and Jenkins for development and deployment.

- Use of Amazon SageMaker for the Artificial Intelligence part.

- SSO Authentication and Authorization

- Test-driven development

Project managed with Github Enterprise.