Ibtissem Hattab

-Designed and maintained highly available AI infrastructure (99.99% uptime) across cloud, on-premise, and hybrid environments. -Optimized AI/ML pipelines for performance and cost, including GPU utilization, autoscaling, and FinOps practices. -Led container orchestration and LLM inference deployments using Kubernetes, Docker, and Helm. -Built CI/CD pipelines (Argo CD, GitOps, Tekton) to automate AI model and agent system deployments, reducing release cycles by 60%. -Established observability stacks (Prometheus, Grafana, ELK, OpenTelemetry) to monitor models, agents, and infrastructure in real time. -Implemented A/B testing, canary rollouts, and automated rollback for safe AI model and agent releases. -Architected and deployed autonomous agents and multi-agent systems (adk, LangChain, CrewAI, LangGraph) across cloud, on-prem, and edge. -Developed scalable agentic microservices optimized for low latency, high throughput, and secure API integrations. -Monitored and optimized agent performance (response time, tool usage, decision paths) to ensure reliability at scale. -Created version-controlled workflows for agent prompts, configurations, and model parameters, ensuring reproducibility. -Drove knowledge sharing, mentoring, and documentation to uplift SRE and MLOps best practices across teams.

-Provision and manage infrastructure optimized for ML workflows through Infrastructure as Code in the Cloud and On-Premise. - Implement CI/CD pipelines for build, test and deployment automation. - Make use of high-performance computing, GPUs technologies, and large-scale cloud-based (e.g. AWS, GCP) distributed systems. Monitor and robustify the platform. - Container-based development and deployment. - Develop tools to enhance the platform and extend automation possibilities. - In-depth understanding of modern distributed software architectures. - Manage projects and organize workflow - Strong project management and organizational skills. - support and work with cross-functional teams in a dynamic environment and deliver high quality services to other departments.

-Manage production environments. -Configure CI/CD pipeline. -Deploy a Highly available Jenkins cluster on AWS. -Dockerize Web Applications. -Automate actions on AWS using CloudFormation, Lambda Function, CloudWatch, and API Gateway. -Build auto_scaling architecture on AWS. -Build VOD Solution on AWS. -Configure high availability and backups. -Monitoring Infrastructure: Grafana , Zabbix. -Performance & Load Testing : Jmeter

4th Rev is a startup based on a suite of software products designed to get the most from your 3D printers Design and implementation of a solution that allows users to: -View real-time progress of their prints. -Add a camera to stream live video, take snapshots, and timelapses. -They can visually inspect their print bed anytime by taking a quick snapshot remotely. Besides, they can also monitor key temperature readings like print bed and extruder as well.

Teach students how to program real robots using the powerful Arduino programming language. Program the controls, sensors, movement, and behavior, and set out on fun and exciting missions including sumo fights, soccer, obstacle course missions, and more.