Professional Experience

Project: RAG Implementation

Key Responsibilities:

• Technology watch and evaluation of emerging AI technologies
• Function development using various LLMs (OpenAI, Mistral)
• Implementation of Retrieval-Augmented Generation systems

Technologies Used:

Key Responsibilities:

• Migration of the entire OCA environment from on premise to GCP and VSphere
• Automating of various resources creation with Terraform (Project, Networking, IAM)
• Application deployment automation with Ansible
• OS image creation with Packer
• CI/CD pipeline design and migrating Jenkins pipelines to GitLab CI
• Support for other teams

Technologies Used:

Project: MLOps on Google Cloud

Key Responsibilities:

• Technology watch and gathering of requirements from data scientists
• Definition and implementation of the architecture (including definition of the various services)
• Implementation of CI/CD pipelines
• Containerisation and orchestration of the various applications developed by the data scientists
• Introduction to DevOps practices for data scientists

Technologies Used:

Project: FinOps on Google Cloud

Key Responsibilities:

• Gathering requirements
• Implementation of various services (Cloud Source Repositories, Cloud Storage, Cloud Build, Cloud Scheduler, Cloud Function, etc.)
• Creation of monitoring functions for the various Google Cloud services (orphan disks, label and tag compliance, etc.)
• Set up problem tracking dashboard (Google Data Studio)

Technologies Used: