Building Self-Healing Kubernetes Clusters with Custom Operators
Implementing automatic remediation for pod failures using custom Kubernetes operators and LangChain-powered diagnostics.
Read Article → DEVOPS_ENGINEER_ACTIVE
REGION: BANGALORE_IN
UPTIME: 99.9%
CI/CD: STABLE
> sudo whoami
BHAVESH KUMAR PARMAR
DevOps Engineer | Cloud & AIOps. Building infrastructure for AI/ML workloads across AWS, Azure, and GCP.
bash — system_overview.sh
[INFO] Initializing profile...
Deploying LLM & RAG architectures, orchestrating Kubernetes clusters (EKS, GKE), and implementing CI/CD pipelines with Terraform. Proficient in Python and Java for automation. Focused on FinOps and observability (Prometheus, Grafana, Datadog) while maintaining 99.9% uptime.
[SUCCESS] 20% cost reduction via FinOps | 50% faster MTTD | 30% MTTR improvement
> current_role
Industry Experience
Feb 2025 - Present
Cloud Engineer @ Shellkode
Bangalore, India
- ▹ Manage multi-client cloud infrastructure across AWS, Azure, and GCP, ensuring 99.9% uptime and rapid incident response.
- ▹ Provision and manage 5+ Kubernetes clusters (EKS, GKE) with Helm charts, handling 50+ containerized microservices in production.
- ▹ Accelerate deployment frequency by 40% implementing GitOps workflows with ArgoCD, Jenkins, GitHub Actions, and GCP Cloud Build.
- ▹ Implement Infrastructure as Code (IaC) using Terraform, managing 200+ cloud resources across multi-tenant environments.
- ▹ Deploy comprehensive monitoring & observability stacks using Prometheus, Grafana, and Datadog, reducing MTTD by 50%.
- ▹ Deploy and maintain LLM & RAG infrastructure on high-performance compute instances, supporting 1,000+ daily API requests.
20%
Cost Reduction (FinOps)
50%
Faster MTTD
5+
K8s Clusters
June 2024 - Jan 2025
Cloud Engineer — Independent Projects
Remote
- ▹ Provisioned and managed AWS infrastructure using Terraform, deploying 20+ resources including EC2, S3, Lambda, and VPC.
- ▹ Deployed 3+ Kubernetes clusters (Kind, EKS) and containerized 10+ applications using Docker and Helm charts.
- ▹ Developed automation tools using Python, Java, and Bash to streamline cloud resource management across 5+ AWS accounts.
20+
Resources Deployed
3+
K8s Clusters
5+
AWS Accounts
> cat .gitlab-ci.yml
Automation Pipelines
BUILD
TEST
SCAN
DEPLOY
terraform plan
> kubectl get pods -w
Cluster State & Observability
Live Traffic (Req/s)
Last 5 mins
Running CrashLoopBackOff (Click to Fix)
> deployments.log
Featured Projects
AIOps
& Self-Healing
Autonomous Self-healing CI/CD Platform
AI Agent Active
ai_agent.py —
self_healing_pipeline
80%+
Auto-Triage Rate
3
CI/CD Platforms
K8s
Terraform IaC
LangChain
Google Gemini Pro
GitHub Actions
Jenkins
AWS CodePipeline
Kubernetes
Terraform
Next.js
Docker
GitOps
View on GitHub
DevOps & IaC
Multi-Cloud CI/CD Pipeline
Full-scale infrastructure automation utilizing Terraform, Ansible, and Kubernetes (EKS). Integrated a comprehensive observability stack.
60% Faster Releases
Terraform
Ansible
Jenkins
SonarQube
JFrog
Prometheus
Grafana
Anthropic MCP & Cloud Ops
Cloud Inventory Assistant
MCP Server
mcp_server
—
anthropic_protocol
90%
Faster Discovery
15+
AWS Accounts
100+
Misconfigs Found
Anthropic MCP
Python
Boto3
IAM Cross-Account
AWS Organizations
DevSecOps & Automation
Vulnerability Mgmt Dashboard
Auto-Patching Active
patch_manager.py — running
[10:42:01] Initializing vulnerability scanner...
1,420
Vulns Patched
99.9%
Compliance
< 4h
Mean Time to Patch
Python
AWS Inspector
Security Hub
Lambda
Security & Compliance
IAM Least-Privilege Auditor
Live Visualizer
100%
Least Privilege
Zero
Wildcard access
Auto
Remediation
D3.js / Canvas
AWS IAM Access Analyzer
Neo4j Graph
Policy Sentry
AI & Observability
Anomaly Detection Interface
Live Monitoring
Proactive Alerting
TensorFlow
CloudWatch
Kinesis
OpenSearch
> detailed_case_analysis
Case Studies
Infrastructure
Multi-Cloud Platform at Shellkode
Challenge
Managing infrastructure across 10+ clients with varying cloud providers (AWS, Azure, GCP), leading to configuration drift, inconsistent deployments, and high operational overhead.
Solution Architecture
CI/CD
GitHub Actions
ArgoCD
Jenkins
▼
IaC
Terraform
Helm
▼
Infra
EKS
AKS
GKE
Results
40%
Faster Deployments
20%
Cost Reduction
99.9%
Uptime SLA
200+
Resources Managed
Terraform
Kubernetes
ArgoCD
Prometheus
Grafana
AIOps
LLM-Powered Cloud Assistant
Challenge
Cloud engineers spending 60% of time on repetitive inventory queries and manual resource discovery across 15+ AWS accounts.
Solution Architecture
Interface
Claude Desktop
Natural Language
▼
Processing
Anthropic MCP
RAG Pipeline
▼
Data
AWS APIs
Vector DB
Results
90%
Faster Discovery
100+
Misconfigs Found
15+
AWS Accounts
1000+
Daily Queries
Anthropic MCP
LangChain
Python
AWS SDK
Vector DB
> cat technical_skills.json
Technical Matrix
Cloud Platforms
AWS (EC2, EKS, Lambda, S3, IAM, VPC, RDS)
GCP (GKE, Cloud Storage, Cloud Build)
Azure
CloudFormation
Containers & Orchestration
Kubernetes (EKS, GKE)
Docker
Helm
Karpenter
ECR
Docker Compose
CI/CD & GitOps
Jenkins
GitHub Actions
ArgoCD
FluxCD
Terraform
Ansible
Git
Monitoring & Observability
Prometheus
Grafana
Datadog
OpenTelemetry
Loki
CloudWatch
DevSecOps & Security
Trivy
SonarQube
HashiCorp Vault
OPA
Checkov
IAM Best Practices
Databases
PostgreSQL
DynamoDB
Redis
AIOps Stack
LangChain
RAG Pipelines
Anthropic MCP
Vector Databases
Ollama
Programming & Scripting
Python
Java
Bash
Shell Scripting
YAML/JSON
Linux Administration
Networking & Infrastructure
VPC
DNS
Load Balancing
VPN
CloudFront (CDN)
Nginx
> architecture_builder.exe
System Design Sandbox
Drag services into the VPC to auto-deploy.
VPC: 10.0.0.0/16
> cat /var/log/tech_insights.md
Tech Blog & Articles
RAG Pipelines for Cloud Infrastructure: A Practical Guide
How we built a context-aware cloud assistant using Anthropic MCP and vector databases to query AWS resources in natural language.
Read Article →Achieving 20% Cost Reduction with Kubernetes FinOps
Strategies for right-sizing workloads, implementing Karpenter, and automating spot instance management across multi-cloud environments.
Read Article →> git log --graph --oneline
GitHub Activity
10+
Repositories
500+
Commits
200+
Contributions
Contribution Activity (Last 12 Months)
Less
More
> cat /var/reviews/testimonials.json
Testimonials
"Bhavesh's expertise in Kubernetes and GitOps transformed our deployment pipeline. His implementation of ArgoCD reduced our deployment time by 40%."
"Outstanding leadership during college events. Bhavesh managed complex technical projects while maintaining excellent stakeholder relationships."
"The AI-powered Cloud Inventory Assistant Bhavesh built has saved our team countless hours. His understanding of both AI and cloud architecture is impressive."
> available_for --list
Open For Opportunities
Full-time Roles
DevOps Engineer, Cloud Engineer, SRE, Platform Engineer positions
Consulting
Cloud architecture reviews, Kubernetes migrations, CI/CD optimization
Speaking
Tech talks on AIOps, DevOps practices, and cloud infrastructure
Open Source
Collaboration on DevOps tools, Kubernetes operators, and AI automation
> verify_certs
Credentials
AWS Certified Cloud Practitioner May 2025
Oracle AI Vector Professional Certified Apr 2025
> academic_history
Education
2020 — 2024
B.Tech in CS Engineering
JIET Jodhpur
> management_exp
Leadership
President, JIET Student Council
Managed 150+ members, led 7 major events, and secured ₹20 Lakh in corporate sponsorships.
Secretary, CSE Department
Organized 10+ hackathons and career fairs, driving a 40% increase in student participation.
> nc -l 8080 # listening for connections
Get In Touch
contact_info.sh
$ echo $EMAIL
workwithbhaveshcc@gmail.com
$ echo $PHONE
+91 88905 69447
$ echo $LOCATION
Bangalore, India
$ cat response_time.txt
Usually responds within 24 hours
> lighthouse --view
Site Performance
95
Performance
100
Accessibility
92
Best Practices
100
SEO
LCP
1.2s
Largest Contentful Paint
FID
12ms
First Input Delay
CLS
0.02
Cumulative Layout Shift
TTFB
85ms
Time to First Byte