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Welcome to Pradeep's Cybersecurity and DevSecOps Hub!

I am an aspiring DevSecOps and cloud security professional with a passion for integrating security seamlessly into the software development lifecycle and safeguarding cloud infrastructures. My focus lies in the critical domains of threat intelligence, incident response, and proactive defense strategies to mitigate ever-evolving cyber risks.

This platform is a reflection of my journey into the dynamic world of cybersecurity. It highlights my expertise, projects, and continuous learning in areas such as:

  • Building secure CI/CD pipelines.

  • Strengthening cloud environments against vulnerabilities.

  • Identifying and mitigating emerging threats through actionable intelligence.

  • Responding effectively to incidents to minimize impact and recover quickly.

Join me as I explore the intersection of security, technology, and innovation. Together, let’s work toward creating resilient systems and a safer digital ecosystem.

Check out my LinkedIn page l-earn cyber where I share blogs, technical write-ups, and insights from my learning journey.

Let’s connect, collaborate, and make a meaningful impact—together.

Hello,

Pradeep here !

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CERTIFICATIONS

BLOGS

L-earn cyber is a dedicated platform where I share my blogs and write-ups. it is started with a strong initiative to share the knowledge in the domain of cyber-security. The write-ups in the page is a reflection of my cyber journey.

click on the logo to see my page.....

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PROJECTS

Secure deployment of retail banking application

this project aims to develop a user-friendly mobile application that enhances productivity and organization. Through intuitive design and seamless functionality, users can efficiently manage tasks, set reminders, and

collaborate with team members.

Container image security

This project aims to develop a user-friendly mobile application that enhances productivity and organization. Through intuitive design and seamless functionality, users can efficiently manage tasks, set reminders, and collaborate with team members.

follow the link to view the full project
https://github.com/pradeepreddy-code/Container-Image-secuirty.git

COURSE WORK

AWS SECURITY

Secure File Processing Pipeline on AWS

Course Project | AWS Cloud Security & Automation

  • Designed and deployed a secure, event-driven file processing system using S3, Lambda, SNS, and EC2, allowing automated extraction of metadata as soon as files were uploaded.

  • Applied KMS encryption on S3 buckets to protect data at rest and configured IAM roles to tightly control permissions across services.

  • Set up S3 event notifications to trigger Lambda functions for real-time processing and used SNS to notify subscribers instantly when new files were added.

  • Ensured security through least privilege access, cross-service policy validation, and adherence to AWS best practices.

  • This hands-on project helped me deepen my understanding of server less design, secure storage, and cloud automation in a production-like environment.

    VPC Security Lab Implementation

    Course Project | AWS Networking & Security

  • Built a custom VPC architecture with public and private subnets, route tables, NAT Gateway, and Bastion Host to simulate a secure cloud environment.

  • Configured Security Groups, Network ACLs, and IAM policies to enforce strict access control across EC2 and S3.

  • Validated configurations by performing real-time SSH/HTTP access testing, port scanning, and traffic analysisusing VPC Flow Logs and CloudWatch.

  • Introduced automation via AWS CLI and infrastructure-as-code scripts, making deployments consistent and reproducible.

  • Gained practical experience in network segmentation, secure connectivity, and compliance-ready architecture, aligned with cloud security standards like PCI DSS.

    Scalable Architecture with Load Balancing & Auto Scaling

    Course Project | AWS Infrastructure & Performance

  • Created a high-availability web application architecture using EC2 instances, Application Load Balancer (ALB), and Auto Scaling Groups.

  • Developed scaling policies based on CloudWatch metrics to automatically adjust instance count, maintaining performance during variable traffic.

  • Configured ALB listeners and target groups to route traffic efficiently, and tested the system’s response under simulated load conditions.

  • Automated environment setup with EC2 User Data scripts, reducing manual configuration time and improving consistency across instances.

  • This project reinforced my ability to build resilient, cost-optimized cloud solutions using AWS-native tools and real-time monitoring strategies.