Avinash Barde

Led backend development of an enterprise Learning Management System (LMS) in Golang and a Private AI ChatBot in Python, delivering two production-grade cloud-native products as part of a strategic DevSecOps initiative. Architected and deployed a Private AI ChatBot powered by Azure AI Studio integrated large language models (LLMs) with a Vector Database for Retrieval-Augmented Generation (RAG), enabling private, context-aware enterprise Q&A without exposing sensitive data to public AI services. Designed and published a cloud-agnostic, reusable DevSecOps Reference Architecture enabling any organization to adopt DevSecOps practices, projected to deliver 90%+ cost savings in operational and security overhead. Built and maintained CI/CD pipelines on AWS and Azure using GitHub Actions, integrating SAST, DAST, and container security scanning tools at each pipeline stage. Developed Terraform IaC modules to provision and manage cloud infrastructure on AWS and Azure, reducing infrastructure provisioning code by 98% for static site deployments (MkDocs on S3 + CloudFront). Engineered Okta SSO authentication adaptors supporting OAuth 2.0 / OpenID Connect and authored a Golang AWS Lambda function for automated user lifecycle management via Okta API. Designed and assigned engineering stories on Azure Boards; performed structured code reviews enforcing security and quality standards across a cross-functional team. Delivered a university-level DevSecOps course based on the reference architecture, enabling upskilling of engineers and students at Kyndryl University. Led a team of 4 engineers onboarded, mentored, and provided continuous performance feedback to deliver Turbonomic integration with the MCMP AIOps platform on schedule. Developed Go broker services and hardware order services enabling real-time Kubernetes workload and cloud resource monitoring with actionable cost-optimization insights for MCMP-AIOps users. Automated end-to-end deployment of Turbonomic using Helm charts on IKS clusters, cutting deployment time and eliminating manual configuration errors. Built a Deployment Automation (DA) framework using Python and ArgoCD to configure and deploy Turbonomic on IBM Cloud with full GitOps workflow. Evaluated and integrated Tekton, IBM DevOps Intelligence, and OpenShift Operators to automate Turbo configuration, establishing a repeatable, auditable deployment pipeline. Collaborated directly with enterprise clients to gather requirements and design the integration architecture connecting IBM Terraform Automation with the MCMP multi-cloud management platform. Developed Go broker services and hardware order services for Cloud Pak (CP) integration, enabling provisioning and lifecycle management of infrastructure across multiple cloud providers. Built ICAM adaptor microservices in NodeJS exposing RESTful APIs to unify cloud identity and access management across hybrid environments. Explored and implemented ArgoCD, Tekton, and OpenShift Operators to automate IBM Cloud Pak deployment and configuration on IBM Cloud.