DevOps Engineer & Professor
Building efficient CI/CD pipelines and teaching the next generation of tech professionals
Work Experience
DevOps Engineer Intern
StarAgile Pvt. Ltd.
November 2024 - June 2025
- Built optimized CI/CD pipelines with Jenkins, Docker, Git, SonarQube, and Nexus, and automated AWS infrastructure using Terraform, CloudFormation, and CodePipeline, achieving 60% faster deployments and 35% better code quality.
- Deployed containerized microservices via Kubernetes, ECS, ECR, and Tomcat, cutting costs by 25% with autoscaling and resource limits.
- Configured Ansible for consistent environment and app delivery across dev/staging, reducing onboarding time by 40%.
Professor
Thakur College of Science and Commerce
June 2024 - May 2025
- Over 1+ year of academic teaching experience, delivering core subjects like C++, Operating Systems, Networking, IoT, and Cloud Computing with practical implementation.
- Led hands-on workshops on Python, Arduino, and emerging technologies, enhancing real-world skills and boosting student engagement by 30%.
DevOps Intern
Cloud Counselage Pvt. Ltd.
Feb 2024 - May 2024
- Spearheaded CI/CD pipeline development with Jenkins and Docker, reducing manual tasks by 80% and enhancing efficiency, with SonarQube and OWASP tools integrated for code quality and security.
Projects
🧠 Flask Quiz Application
Built a full-featured quiz application using Flask with CI/CD integration, containerization, and cloud-native deployment for scalable performance and monitoring.
- Designed a modular quiz system loading YAML-based questions with PostgreSQL-backed persistent storage
- Implemented secure user authentication, real-time scoring, and admin dashboard for quiz and user management
- Dockerized the app with multi-stage builds and deployed using Kubernetes on AWS for production
- Set up Jenkins-based CI/CD pipeline with GitHub Actions, Docker Hub integration, and automated testing (~80% coverage)
- Integrated Prometheus, Grafana, and RabbitMQ for monitoring, visualization, and asynchronous task processing
🛡️ Insurance Management System
Developed a comprehensive insurance management system using Spring Boot, with full CI/CD automation and infrastructure as code implementation following industry best DevOps practices.
- Built backend APIs using Java and Spring Boot, packaged with Maven, and containerized via Docker
- Orchestrated deployments using Kubernetes (Minikube locally) and Docker Compose on AWS cloud infrastructure
- Implemented end-to-end CI/CD pipeline using Jenkins, with automated testing, building, and deployment stages
- Provisioned and managed infrastructure using Terraform, enabling reproducible environments across dev/staging
- Used Ansible for automated server configuration and environment setup, ensuring consistency and scalability
🩺 Medicure Healthcare App
Developed a comprehensive healthcare management application using Spring Boot, offering seamless access to medical services for patients and providers.
- Enabled patient registration, provider directory, and appointment scheduling features
- Built RESTful APIs for third-party system integration and responsive web interface
- Containerized the application using Docker and deployed using Kubernetes
- Integrated Prometheus and Grafana for real-time monitoring and metrics visualization
- Technology stack includes Java 8, Spring Boot 2.7.4, Maven, and Jenkins for CI/CD
🎬 Hotstar Clone CI/CD
Implemented end-to-end CI/CD pipeline for a Hotstar streaming platform clone using modern DevOps toolchain.
- Set up multi-node infrastructure with Jenkins, Nexus, SonarQube, and Tomcat across EC2 instances
- Automated build and deployment process using shell scripts and Maven
- Integrated code quality gates and artifact storage within Jenkins pipeline
- Configured Amazon S3 backup solution for application assets
- Deployed across Amazon Linux 2 & Ubuntu 24.04 EC2 instances
🎥 Netflix Clone CI/CD
Deployed a Netflix Clone web application on AWS with a fully automated CI/CD pipeline using Git, GitHub, Jenkins, SonarQube, Nexus, k8s and Docker.
- Leveraged Apache Tomcat automating the build-test-deploy lifecycle
- Implemented code quality checks and artifact versioning
- Achieved 70% faster deployments and 40% fewer post-deploy issues
- Enabled seamless rollouts using containers
AWS 3 Tier Architecture WebApp
Designed and implemented a scalable three-tier architecture on AWS with industry best practices.
- Implemented Auto Scaling Groups and ELB in the application tier for high availability
- Utilized Amazon S3 and CloudFront for static file hosting and CDN-based content delivery, reducing latency by 30%
- Configured Multi-AZ Amazon RDS with CloudWatch monitoring
- Secured the stack using IAM, Security Groups, and VPC best practices
Skills & Certifications
Technical Skills
CI/CD & Version Control
Containerization & Orchestration
Cloud & Infrastructure
Configuration Management
Monitoring & Observability
Security & Quality
Programming & Scripting
Web & Database
🏆 Certifications & Training
- Microsoft Azure Data Fundamentals DP-900
- Salesforce Certified AI Associate Salesforce
- Google IT Automation with Python Professional Certificate
- Implementing AI Solutions in Business DataCamp
- Oracle Cloud Infrastructure Data Science 2023 Certified Professional
- AWS Cloud Practitioner CLF-02
- IBM DevOps Fundamentals IBM
- IBM Docker Essentials IBM
- IBM Scalable Web Application on Kubernetes IBM
- AWS Certified AI Practitioner Amazon Web Services
Education
Master's Degree in Computer Science
BK Birla College, Mumbai University
Kalyan (W)
Bachlors's Degree in Computer Science
Satish Pradhan Dnyansadhna College, Mumbai University
Thane (W)