Portfolio 2026
Bhari
Sagar
7+ Years DevOps | AI Governance | Cloud Automation
Hi, I'm
AI Cloud Engineer
Bhari
Sagar
Currently building cloud-native AI governance, DevOps automation, and resilient operations platforms.
Open to worldwide remote AI cloud, DevOps, governance automation, and production operations opportunities.
Based in India
Available Worldwide / Remote
Bhari
Who I Am
Bhari Sagar brings 7+ years of DevOps experience and is currently building practical AI and cloud platforms that connect DevOps, observability, governance, automation, and learning. His recent work includes enterprise AI governance on AWS, AIOps Lens Advisor, DevOps Grade, cloud DevOps project labs, MCP integrations, and production smoke-test workflows across ECS, SageMaker, Bedrock, ECR, CloudWatch, Docker, and Terraform.
DevOps Module Lead
- Building AWS-first AI governance and operations workflows around Amazon Bedrock, ECS, ECR, DynamoDB, CloudWatch, Docker, and Terraform.
- Creating production smoke tests and deployment automation for FastAPI services, container images, and SageMaker validation paths.
- Designing observability and AIOps flows for recent activity, RCA-style insights, service health, and actionable operational summaries.
- Connecting MCP and agent tooling with practical cloud workflows so AI assistants can inspect, explain, and automate engineering tasks.
Enterprise AI Governance
Platform Builder
- Built a cloud-native governance platform for AI workflows using AWS services, Terraform-managed infrastructure, and production-oriented deployment patterns.
- Integrated Bedrock model access, governance rules, observability endpoints, and operational checks for controlled enterprise AI usage.
- Created repeatable infrastructure and deployment flows across ECS, ECR, DynamoDB, IAM, CloudWatch, and application health checks.
- Documented evidence-driven validation steps so the platform can be explained, audited, and improved like a real production system.
AIOps Lens Advisor
AIOps Product Builder
- Designed an observability assistant that summarizes recent system signals and turns operational data into investigation-ready context.
- Connected health endpoints, summary APIs, and deployment checks to support fast validation after infrastructure or app changes.
- Focused the experience on production support workflows: triage, RCA hints, service status, and practical next actions.
- Used containerized services and cloud deployment patterns to keep the system portable and ready for extension.
Cloud DevOps Project Library
Cloud DevOps Engineer
- Created hands-on cloud and DevOps examples around infrastructure automation, container workflows, CI/CD, and deployment validation.
- Used project documentation as an engineering artifact, showing architecture intent, setup steps, commands, and evidence of execution.
- Practiced delivery patterns that map directly to real cloud engineering work: versioning, reproducibility, smoke testing, and operational visibility.
MCP and Agent Tooling
Automation Integrator
- Explored MCP-style integrations for connecting tools, workflows, and AI assistants into useful engineering automation.
- Built and tested small automation loops that help turn operational tasks into repeatable, inspectable workflows.
- Focused on practical agent support for cloud operations, governance testing, repository work, and documentation.