Olivier Tuch

Developed AI chatbots based on GPT and retrieval-augmented generation (RAG) using OpenAI embeddings, AWS Lambda, API Gateway, and DynamoDB to manage FAQs, enable live chat, and Zendesk ticket creation, increasing customer support satisfaction by 30%.

 Prototyped an intelligent voice assistant powered by Generative AI for connected homes, with conversational capabilities, based on an ESP32 microcontroller (C++ code) and a Raspberry Pi (Python). Both versions integrate Bluetooth, Wi-Fi, microphone, OpenAI API. The ESP32 version integrated Google Cloud and Azure STT/TTS, while the Raspberry Pi version used Whisper (STT) locally and Piper (TTS) for control and automation of connected devices.

 Deployed a GPT-based AI chatbot using AWS Lambda, S3, and DynamoDB, integrated with the Shopify customer support system to manage FAQs, maintain session memory, and enable live chat with customer support, as well as Zendesk ticket creation.

 Built scalable infrastructures on AWS and Azure using Terraform for Infrastructure as Code (IaC), improving infrastructure reliability by 30% and optimizing deployments.

 Provisioned hundreds of AWS EC2 instances via Ansible, reducing provisioning time by 60%.

 Implemented CI/CD pipelines with Jenkins, Ansible, and Azure DevOps across multiple environments, reducing deployment times by 40%.

 Configured Kubernetes (K8s) clusters, improving scalability, reliability, and automated workload management in high-demand environments.

• Implemented Terraform to automate the creation and management of Azure resources, including virtual machines, AKS, Blob storage, and resource groups, reducing manual configuration time by 50% and ensuring consistent infrastructure across environments.

• Automated .NET build and deployment processes using Docker, Kubernetes, Terraform, and Azure DevOps, reducing deployment time by 40% and ensuring consistency across environments.

• Accelerated parallel execution of test suites using Kubernetes, Azure DevOps, Python, and

Bash, reducing execution time by 25%.

• Designed SCA and SAST security pipelines for 12 applications using Azure DevOps, PowerShell, and Bash scripts, ensuring SOC 2 compliance and enabling continuous monitoring.

• Orchestrated the deployment of AWS infrastructure components (EC2, EKS, VPC, IAM, S3, ASG, and

ELB) using Terraform, Terragrunt, and Azure DevOps, ensuring HIPAA compliance and reducing manual errors by 50%.

• Improved CI/CD pipelines by integrating Packer, Jenkins, CircleCI, and Terraform, using Python and Bash scripts to implement a blue/green deployment strategy with AWS EC2 Auto

Scaling Groups (ASG), increasing image deployment speed by 50% across multiple teams.

• Optimized Kubernetes application and service deployments using Helm and Flux2, reducing deployment errors by 30% and increasing system stability by 50%.

• Created and configured over 20 GitHub repositories, defining policies and managing

configurations that improved code management efficiency by 30% and enhanced security for 5 development teams.

• Established real-time monitoring and alerting systems using Prometheus, Grafana, and

PagerDuty on AWS EKS, reducing incident response times by 40%.