
Building CI/CD Pipelines with Jenkins & Docker
How I implemented automated deployment pipelines for cloud-native applications using Jenkins, Docker, and Kubernetes orchestration.

Engineering Zero-Downtime Multi-Cloud Systems & Resilient DevSecOps
Architecting production infrastructure across AWS & Azure with Kubernetes, Terraform automation, and SigNoz telemetry. Founder of PingsNest.
Cloud and DevOps Engineer specializing in high-throughput, resilient cloud infrastructure across AWS and Azure. Currently Cloud Infrastructure Engineer at Reg-X Innovations, previously supporting mission-critical enterprise systems at Excellon Software.
Core domain mastery spans Infrastructure as Code (Terraform), automated CI/CD security pipelines (Jenkins, GitHub Actions, Trivy), containerization (Docker), and orchestration (Kubernetes / EKS). Dedicated to architecting zero-downtime, scalable systems following modern DevSecOps best practices.

Production-grade tooling across enterprise cloud providers, automated pipelines, SigNoz telemetry, and Kubernetes clusters.
Interactive Case Studies & Real-World Cloud Deployments

Cloud observability and reliability platform for APIs and microservices. Features real-time latency telemetry, synthetic health probes, automated uptime alerting, and automated containerized deployment on AWS.

Designed and deployed secure AWS cloud infrastructure using EC2, S3, VPC, and IAM. Implemented Infrastructure as Code using Terraform to automate provisioning, configured KMS encryption, IAM roles, security groups, and CloudWatch monitoring.

Deployed cloud-based application on AWS using EC2, S3, IAM, and VPC following cloud architecture best practices. Implemented CI/CD pipeline using Jenkins with automated DevSecOps security scans, dependency scanning, and quality validation.

Cloud-native document conversion platform with complete DevSecOps CI/CD pipeline using Jenkins, Docker, Kubernetes, Trivy, SonarQube, and GitOps-based deployment via Argo CD.

Deployed robust hosting solution with auto-start/stop EC2 scripts for cost optimization. Implemented role-based access with user and admin dashboards using AWS EC2, Apache, RDS MySQL, and S3.

Hands-on Kubernetes projects covering Pods, Deployments, Services, Ingress, ConfigMaps, Secrets, and multi-node clusters using Minikube and KIND.

Comprehensive collection demonstrating containerization concepts from beginner Dockerfiles to advanced multi-container setups with database integrations.

Production-ready microservices architecture demonstrating enterprise-grade patterns with Kubernetes and AWS services following cloud-native best practices.

Terraform configurations for three-tier application architecture on AWS. Modular and maintainable infrastructure with networking, compute, and database resources.

Interactive quiz application with separated presentation, logic, and data layers. Built with REST APIs and relational database for scalable architecture using Node.js, Express, MySQL, and AWS.

Lightweight task management application demonstrating CRUD operations and web development fundamentals, developed using AWS Q Agentic AI Platform.
Production milestones, engineering leadership, and institutional recognition tracked across verified releases.
Reg-X Innovations
Led legacy application modernization to highly available AWS ECS, ECR, ALB, IAM, and AWS WAF. Eliminated ~20 minutes of deployment downtime through zero-downtime deployment strategies. Designed end-to-end DevOps practices, Terraform IaC, IAM least-privilege security, KMS encryption, and centralized observability using SigNoz and OpenTelemetry for distributed tracing and log aggregation.
Excellon Software
Managed and supported production Azure cloud infrastructure for internal and client-facing enterprise applications. Performed daily health checks, monitoring, and log analysis using Azure Monitor. Supported deployment validation, service monitoring, compute/storage optimization, and root-cause incident troubleshooting.
Reg-X Innovations
Received the Best Employee Award for outstanding performance and contributions as a Cloud Infrastructure Engineer. Recognized for driving cloud modernization initiatives, implementing DevOps best practices, and enhancing infrastructure reliability, security, and operational efficiency.
Dr. D. Y. Patil College of Engineering and Innovation (DYPCOEI)
Awarded the Best Outgoing Student of the Batch in recognition of outstanding academic performance, technical excellence, leadership, and active contributions to departmental, technical, and extracurricular initiatives throughout the BE program.
Dr. D. Y. Patil College of Engineering and Innovation, Talegaon, Pune
Leading student initiatives and academic programs at the college level. President of Cloud Visioners Club organizing cloud technology community and technical events.
Dr. D. Y. Patil College of Engineering and Innovation, Talegaon, Pune
Managed financial operations and budget planning for college activities. Coordinated student welfare programs and initiatives.
Dr. D. Y. Patil College of Engineering and Innovation, Talegaon, Pune
Savitribai Phule Pune University | CGPA: 8.69. Strong focus on cloud technologies, DevOps practices, and infrastructure automation.
Government Polytechnic, Nandurbar
Maharashtra State Board of Technical Education | Percentage: 85.26%. Built strong foundation in computer engineering fundamentals, programming, and system architecture.
Directly verified certifications across AWS Solutions Architecture, DevOps Engineering, Azure Infrastructure, and Redis In-Memory Operations.
Amazon Web Services (AWS)
Validity: Aug 2026 – Aug 2029
Amazon Web Services (AWS)
Validity: Sep 2026 – Sep 2029
Amazon Web Services (AWS)
Validity: Oct 2026 – Oct 2029
Amazon Web Services (AWS)
Validity: May 2025 – Aug 2029
Microsoft
Validity: Sep 2024
Redis
Validity: Aug 2026 – Aug 2028
Redis
Validity: Aug 2026 – Aug 2028
Udemy
Validity: Completed
AnitaB.org India
Validity: Dec 2025
Forage
Validity: Nov 2024
Amazon Web Services (AWS)
Validity: Apr 2025
Amazon Web Services (AWS)
Validity: Mar 2025
HackerRank
Validity: Completed

How I implemented automated deployment pipelines for cloud-native applications using Jenkins, Docker, and Kubernetes orchestration.




Available for multi-cloud architecture consulting, DevSecOps automated pipelines, keynote speaking, and creator collaborations.

“Looking to scale your infrastructure or automate your DevOps pipeline? Reach out below!”
Pune, Maharashtra, India (IST / UTC+5:30)