Olivier Tuch

AI and DevOps Consultant specializing in production ML systems and cloud infrastructure. Reduced deployment times by 40-50%, cut operational costs by 70%, and maintained 99.9% uptime across AWS and Azure environments serving live production users. Architected multi-model AI customer support systems using Llama-3, GPT-4o, and RAG with semantic search on AWS serverless infrastructure (Lambda, API Gateway, DynamoDB, S3, CloudFront). Implemented intelligent caching strategies that reduced API costs by 70% while achieving sub-second response times. Integrated Zendesk, Shopify, and FedEx APIs with real-time session management. Built AI-powered procurement automation platform eliminating 95% of manual data entry errors and reducing processing time from 4+ hours to under 2 minutes. Delivered from prototype to production in 6 weeks through embedded client engagement. Deployed production infrastructure using Terraform and Kubernetes across AWS and Azure. Provisioned hundreds of EC2 instances via Ansible, cutting provisioning time by 60%. Led CI/CD migration across six teams, building automated pipelines for 70 repositories that reduced deployment times by 50%. Established comprehensive observability with Prometheus, Grafana, and PagerDuty, reducing incident response times by 40%. Built detailed runbooks and alert systems with 16+ alert rules ensuring systematic troubleshooting and rapid recovery. Developed embedded AI companion system for Raspberry Pi enabling real-time, emotion-aware voice interaction using ElevenLabs Conversational AI, Gemini API, and custom audio processing with systemd orchestration..

• Migrated sequential test suites to parallel execution using Kubernetes jobs, Azure DevOps, Python, and Bash scripting, reducing execution time by 25%. Created Azure Cloud resources using Terraform. Built container images with Dockerfiles.• Supervised and implemented the migration and the releases of yaml based pipelines across products and teams using yaml templates, Powershell scripting and Azure • Created and managed various AWS resources (VM, AKS, Blob, Resource Group, VPC, AAD, RBAC etc.) • Automated the build and the deployment of dotnet applications to a Kubernetes or Windows Vms cluster with multiple environments using Docker, Kubernetes, Terraform, Kustomize, Azure AKS, Azure Devops, Powershell and Bash scripting. • Created yaml templates for Azure Devops CI/CD pipelines • Migrated sequential test suites to parallel execution using Kubernetes jobs, Azure DevOps, Python, and Bash scripting, reducing execution time by 25%. • Created Azure Cloud resources using Terraform. • Built container images with Dockerfiles.

• Automated the build and the deployment of Kubernetes cluster using Terraform, terragrunt and AWS EKS • Created, updated, and maintained the CI/CD pipelines using Jenkins, Circle-CI and Azure Devops. • Created Kubernetes applications and services using Helm and flux2 • Built container images with Docker files • Implemented monitoring and alerting services using Kubernetes, Prometheus, Grafana, Alert Manager, PagerDuty and Slack • Wrote Python and bash scripts for CI/CD

• Created, maintained, tested and fixed Ansible roles using the molecule framework • Created Packer virtual machines images in HCL • Provisioned virtual machines and containers using Ansible • Automate the build and the deployment of virtual machines and containers with Jenkins • Created, and maintained Jenkins pipelines with Jenkins files

Ride: Android app Role: Software developer • Developed an Android ride-sharing app in Java using Google Map, Firebase, and Geofire APIs • Successfully achieved to have a prototype of a ride-sharing app that safely manages credentials and real-time drivers and customers’ geolocation and allows customers to request or cancel rides. • Did a live presentation with a live demonstration of the app

Role: Intern Software developer • Trained a Mask RCNN neural network to recognize cows on a picture • Achievement: The software was able to recognize the cows with a 75% accuracy.

Fastpay: blockchain network Role: Blockchain software developer and team manager • Developed a new payment system for the school cafeteria based on the blockchain technology hyperledger • Successfully achieved to have a prototype of a secured decentralized network for electronic payments

Junior ENSEA (student association similar to an engineering (Paris, France) consulting firm, which carries out missions for startups and public companies)
 Role: Business Manager • Responsible for bringing new customers to Junior ENSEA • Organized meeting with potential customers to present Junior ENSEA • Successfully lead the web design team to launch a new website • Organized student trips to business and entrepreneurship conventions