Aditya Banerjee
Cloud & DevOps Engineer (AWS)
Kalyani
Summary
Cloud & DevOps Engineer (AWS) passionate about automating infrastructure and deployment pipelines. Completed an internship at Kalyani Government Engineering College on a Novel CI/CD Simulator for Cloud Computing Environments. Skilled in AWS, Docker, Jenkins, Terraform, and automation using Python, with hands-on experience in load balancing and cloud optimization projects.
Overview
3
3
Certifications
Work History
Cloud & DevOps Intern
Kalyani Government Engineering College (Department of Computer Science & Engineering)
08.2025 - 10.2025
• Completed an internship under Dr. Kousik Dasgupta (H.O.D., CSE) focused on designing a Novel CI/CD Simulator for Cloud Computing Environments.
• Implemented containerized build strategies (Sequential, Parallel, Cached, Slim Image) using Docker to measure deployment performance.
• Evaluated multiple load balancing and scheduling algorithms to optimize build time and server utilization.
• Achieved measurable improvements in efficiency and fairness, validated across 20,000 simulated cloud services.
• Prepared technical documentation and project report for the Department of CSE, University of Kalyani.
Education
Bachelor of Technology (B.Tech) - Computer Science And Engineering
University of Kalyani
Kalyani, West Bengal, India 04.2001 -
Skills
AWS (Amazon Web Services)CI/CD Pipeline ImplementationDocker & ContainerizationLinux & Shell ScriptingGit & GitHubLoad Balancing Algorithms (Round Robin, Least Connections, Random, Genetic)Cloud AutomationJenkins IntegrationTerraform (Infrastructure as Code)System Monitoring & Metrics (Grafana)Python for AutomationSQL (Basic & Intermediate)Kubernetes (Basics)Team Collaboration & DocumentationProblem Solving and Analytical Thinking
Certification
SQL (Basic) – HackerRank
Projects
Intelligent Cloud AutoScaler (Open Source Project) CI/CD Simulator (Internship Project – Kalyani Government Engineering College) Serverless Application (Ongoing Project)
- Developed a machine learning-based autoscaling system for proactive resource management using AWS CloudWatch, Docker, and Streamlit.
- Implemented RandomForest, XGBoost, LSTM, and KNN models to predict CPU utilization and optimize scaling before load spikes.
- Integrated real-time monitoring dashboards and containerized the system for cross-cloud deployment via Docker Hub.
- Designed a Cloud CI/CD Simulator under the guidance of Dr. Kousik Dasgupta (HOD, CSE) to model deployment pipelines.
- Implemented Docker-based build pipelines, Jenkins automation, and load balancing algorithms (Round Robin, Least Connections, Genetic).
- Enhanced deployment efficiency and evaluated scalability across 20,000 simulated cloud servers.
- Building a serverless automation system using AWS Lambda for event-driven backend execution.
- Aims to integrate CI/CD pipelines, API Gateway, and CloudWatch triggers for auto-scaling workflows.
Timeline
SQL (Intermediate) – HackerRank
10-2025
Internship Certificate – Cloud CI/CD Simulator Project, KalyaGovernment Engineering College
10-2025
SQL (Basic) – HackerRank
09-2025
Cloud & DevOps Intern
Kalyani Government Engineering College (Department of Computer Science & Engineering)
08.2025 - 10.2025
Bachelor of Technology (B.Tech) - Computer Science And Engineering
University of Kalyani
04.2001 -