Available for DevOps, Cloud & AI/MLOps roles

Nihal
Bawankar

DevOps Engineer  ·  AWS  ·  Kubernetes  ·  Terraform  ·  CI/CD  ·  AI/MLOps

Building scalable cloud infrastructure, automated pipelines, and containerized AI workloads. Architected a 10-service MCP-based platform on EKS with GPT-4o integration. Based in Pune, India — open to DevOps, Cloud & AI/MLOps opportunities.

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01.

About

I'm a DevOps & AWS Engineer with hands-on experience designing scalable cloud infrastructure, automating deployments, and managing containerised workloads on Kubernetes.

Beyond core DevOps, I bring practical AI/MLOps experience — I architected and deployed a 10-service MCP-based AI microservices platform on EKS, integrating an OpenAI GPT-4o tool-calling agent, IRSA/OIDC security, and platform-wide observability with Prometheus and Grafana.

My background in Mechanical Engineering (BIW Fixture Design) gave me a structured, systems-thinking mindset that now drives how I approach infrastructure problems. Certified in AWS Cloud Practitioner Essentials and actively deepening cloud architecture expertise.

3+
Years total work experience
4
Live DevOps projects on GitHub
40%
Deployment time reduced
70%
Manual effort eliminated
02.

Skills

AI / MLOps
OpenAI GPT-4o Tool-calling Agents MCP Control Plane Model Registry MLflow KServe vLLM LLM Integration
Cloud Platform
AWS EC2 S3 VPC IAM RDS ECS EKS ALB ECR CloudWatch Route 53 Auto Scaling
Containers & Orchestration
Docker Kubernetes Amazon EKS microk8s Helm Kustomize HPA ArgoCD
CI/CD & GitOps
Jenkins GitLab CI/CD GitHub Actions ArgoCD 7-wave sync
Infrastructure as Code
Terraform Ansible
Security
IRSA OIDC / STS IAM cert-manager Let's Encrypt ACME VPC Security Groups
Monitoring & Observability
Prometheus ServiceMonitor Grafana AWS CloudWatch Alerting Rules
Scripting, DB & Networking
Python Bash / Shell Linux PostgreSQL Redis Nginx DNS TCP/IP Load Balancing
03.

Experience

AWS DevOps Engineer
Cloud & Infrastructure Engineering
Pune, India
  • Designed and deployed scalable AWS infrastructure (EC2, S3, VPC, ECS, RDS), improving system reliability and uptime.
  • Automated infrastructure using Terraform and Ansible, reducing manual effort by 70%.
  • Built CI/CD pipelines using Jenkins, GitHub Actions, and GitLab CI/CD; implemented GitOps deployments via ArgoCD, reducing deployment time by 40%.
  • Containerised applications using Docker and deployed on Kubernetes (EKS) using Helm charts.
  • Configured monitoring with CloudWatch, Prometheus, and Grafana, reducing incident response time.
  • Automated operational tasks using Python and Bash scripts to improve system efficiency.
  • Configured Nginx reverse proxy and load balancing, improving response time by 30%.
  • Applied AWS security best practices — IAM, VPC, security groups.
Sept 2025 — Present
BIW Fixture Design Engineer
NS Cube Engineering Pvt Ltd
Nagpur / Pune, India
  • Designed 15+ automotive BIW fixtures using CATIA V5, ensuring production accuracy.
  • Reduced design iteration time by 20% through structured cross-functional collaboration.
  • Resolved design issues using analytical troubleshooting, improving overall system efficiency.
  • Built strong documentation and structured problem-solving skills directly applied to DevOps workflows today.
Jan 2023 — Sept 2025
04.

Projects

CI/CD Pipeline for Node.js Application using Jenkins & Docker
End-to-end CI/CD pipeline automating build and deployment of a Node.js application. GitHub webhook triggers, Docker containerisation, and EKS deployment via Helm.
Jenkins Docker GitHub Node.js AWS EKS Helm
▸ 70% reduction in manual deployment effort
AWS Infrastructure Automation using Terraform
Fully automated AWS infrastructure provisioning — VPC, EC2, subnets, internet gateway, security groups using Terraform IaC. Ansible for configuration, Python/Bash for monitoring.
Terraform AWS Ansible Python Bash Linux
▸ Zero manual provisioning — full Infrastructure as Code
Automated Deployment with Terraform & GitLab CI/CD
Multi-stage GitLab CI/CD pipeline provisioning AWS infrastructure via Terraform and deploying a Dockerised app via ArgoCD GitOps on EKS. Build, Deploy, Test & Destroy stages.
Terraform GitLab CI/CD Docker ArgoCD Helm AWS EKS
▸ Fully automated multi-stage pipeline
05.

Certifications

Amazon Web Services  ·  2026
COMPLETED
Claude 101 Certification
Anthropic  ·  2026
COMPLETED
06.

Contact

Open to DevOps, Cloud, SRE, and AI/MLOps opportunities. Feel free to reach out whether it's about a role, a project, or just a conversation about cloud infrastructure and AI systems.

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