Greetings! Here's an updated list on my work:Zones LLC:✅ Software EngineerDevOps Engineer (3 months) • Led the creation of Zones' production infrastructure on Azure using Terraform, including subnets, storage accounts, key vaults, AKS, identities, bastion host, data factory, databricks and more. • Deployed/managed frontend and backend applications on AKS. • Templatized CI/CD pipelines in Azure DevOps. • Developed Helm charts and bashscripts scripts for custom PostgreSQL deployment. • Integrated ArgoCD for continuous delivery. • Created a level 3 Kubernetes Operator to automate application management tasks.Data Engineer (2 months) • Designed/configured ETL pipelines in Azure Data Factory. • Implemented bulk data transformations using Python and PySpark. • Automated data retrieval and storage processes in the cloud with SFTP integration.Magento Developer (2 months) • Integrated Zones ZDP app with the Magento 2. • Developed a one-click deployment script for Magento on Zones AKS.Backend Developer (4 months) • Built/maintained backend services using Node.js, NestJS, GraphQL, and TypeORM.Frontend Developer (2 months) • Built/maintained UI with ReactJS, TypeScript, and Material-UI.Open Source:✅ GitHub Contributor -> Contributed to open source projects by implementing DevOps principles, optimized code commit/testing process, and dockerized applications. Also set up CI/CD pipelines using Jenkins and Github Actions.Freelance Web Development:✅ MERN Stack -> Developed websites for social media and healthcare industries.Machine Learning:✅ Machine Learning Intern @ Web Solutions PlusFinal Year Project:✅ RecogLip: Lip Reading Headgear for Speech Impaired Individuals -> Designed a gadget based on Raspberry Pi to aid communication for individuals with speech impairments. User records a silent video by pressing a button, and ROIs are generated from the video on the Pi. The Bash script is used to send the ROIs to Amazon SageMaker via SSH, where the NGROK tunnel is listening. The output generated by the model deployed on Amazon SageMaker is sent back to Raspberry Pi and converted into speech. The device provides up to 90% accuracy.Outreach:✅ Kubernetes Community Days -> Helped organize Pakistan's first KCD and secured global speaker participation from DevOps and cloud professionals.Tech Blogging:✅ Medium -> Wrote blogs on DevOps tools like Kaniko and Service-mesh.Community Work:✅ Volunteer @ RizqMedium: medium.com/@ikramkhan951Github: github.com/ikram554Want to get in touch? Drop an email at: ikramkhan951@gmail.com
