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prajna-7/README.md

πŸ‘‹ Welcome to Prajna Bala Sai Potnuri's GitHub Profile

πŸš€ Aspiring Telecommunication and DevOps Professional | Cloud Enthusiast | IoT Innovator | Lifelong Learner and Achiever

πŸ”— Email: prajnasai123@gmail.com
πŸ“ Location: Sweden
πŸ’Ό LinkedIn: Prajna Bala Sai Potnuri


🌟 About Me

I am a passionate engineer with a strong foundation in Telecommunication Systems, Cloud and DevOps Tools, and IoT Technologies. My journey combines academic excellence, hands-on project development, and continuous skill enhancement.

  • πŸŽ“ Master's in Telecommunication Systems, Blekinge Institute of Technology, Sweden
  • πŸ”§ Expertise in tools like AWS, Azure, Jenkins, Terraform, Ansible, Docker, and Kubernetes
  • πŸ“‘ Skilled in Signal Processing, IoT Integration, and Networking Protocols
  • ✍️ Experienced in Machine Learning, Python Development, and Software Testing

As a lifelong learner and achiever, I don't just learn; I put my knowledge into action, crafting solutions that work and make a difference. Explore my projects to see how I bring technology to life!


πŸ› οΈ Technical Skills

  • Programming: Python, C, C++, MATLAB, Bash
  • DevOps & Cloud: AWS, Azure, Docker, Kubernetes, CI/CD, Terraform, Jenkins, Ansible
  • IoT & Embedded Systems: Real-time Data Collection, Sensor Integration
  • Testing & QA: TDD, Unit & System Testing
  • Networking: TCP/IP, REST APIs
  • Version Control & Databases: Git, MySQL

πŸ“ˆ Highlight Projects

🌐 Cloud-Based E-Commerce Platform Automation and Monitoring

An end-to-end solution automating e-commerce platform deployment and monitoring with AWS and DevOps tools. Focused on scalability, reliability, and operational efficiency.

βš™οΈ Health Check Tool with Prometheus & Grafana

Implemented a server health check system using Ansible for data collection, Jenkins for CI/CD, and Prometheus-Grafana for visualization.

πŸ“¦ Load Balancer for HTTP Requests on Azure

Designed a scalable load balancer using Flask and Docker on Azure, optimizing performance through custom algorithms like Weighted Round Robin.

πŸ“Š Behavioral Analysis for DDoS Attack Detection

Developed a framework leveraging Machine Learning and XAI techniques for anomaly detection, improving network security.

πŸ‘‰ For more projects and exciting content, please visit my GitHub Repositories. You'll find all my work and innovative solutions there!


🎯 Achievements

  • 50% Tuition Fee Waiver for academic excellence at BTH, Sweden
  • Published research on IoT-based Health Monitoring Systems and DDoS Detection using Machine Learning

πŸ“Œ How to Explore My Work

πŸ”Ή Browse my Repositories to explore projects demonstrating cutting-edge technologies.
πŸ”Ή Check out my LinkedIn for professional updates and certifications.


πŸ’‘ Let's Collaborate!

I am open to exciting opportunities and collaboration on challenging projects. Feel free to connect via LinkedIn or Email.

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