Brief: Backend Developer with AI, DevOps Skills System Development: DSA, LLD(Java/python OOPs), HLD distributed systems at scale, Hands-on design Patterns AI and Data Engineering with Python stack deep, reinforcement learning Implemented using python: 1. Virtual Network Functions Life Cycle Management cross-testing driver, 2. Prometheus Anomaly detection design and package (TimeSeries analysis and forecasting), 2. pod scaling using model based Q learning (reinforcement learning pipeline), Engineering: 1. Magma v1.5 and 1.6 (orchestrator, AWG and s1AP tester clusters) on-prem 2. Prometheus time series DataBases 3. OpenStack watcher service 4. AWS Services VPC, EC2, developers tools, EKS clusters, IAM, S3, Lambda Automation skills: Terraform, CloudFormation, Ansible, Python, Java, shell scripting, REST API and gRPC Certifications: CKAD, JNICA DevOps, 3xCCNA, 1xCCNP, Magma Technical AI stack: ML,RL, deep learning, Time series analysis, tensorflow, Pytorch, MLflow, Prophet LSTM GRU Devops Skills: Docker , Kubernetes, AWS, OpenStack, Flexible Engine Cloud, Orange IaaS, CI/CD, Git, GitLab, NoSQL, RBDS, Prometheus, Grafana, Elastic Slack, AWS EKS, CodePipelines, CloudFormation, TerraForm Network: Telco Core (Magma, Free5gc, Free5gs, LTE), MPLS TE, IP routing and switch WAN, LAN, open vSwitch. Task Management: Scrum, Jira with agile methodology ________________ Currently, I am working as a cloud architect in the orange engineering team, on AI for telco (cloud & edge) and IaaS optimization. Deep Reinforcement Agent and pipeline, cloud infra development using IaC, python, DevOps and AI-ML solutions. I have been innovating, anticipating and developing features of IaaS/CaaS clouds using AIOps & DevOps to run the telco load in various sites and allow for Cl/CD deployments to bring features to production faster. __________________ Let's connect => Email: jatindersingh0607@gmail.com