DevOps Notes
Resume Certifications Projects CONTACT

Hi, my name is Surendra Kumar
I'm the DevOps Engineer.

About Me

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An AWS-certified DevOps Engineer with 4 years of experience in cloud infrastructure and DevOps automation. Skilled in building and managing CI/CD pipelines, containerized applications, and multi-cloud environments using AWS, Azure, and GCP.

Experienced in automating deployments, monitoring systems, and optimizing cloud resources to improve performance, security, and availability. Focused on creating reliable, scalable, and efficient cloud solutions that support smooth and fast software delivery.

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Skills

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Certifications

Certified in major cloud and DevOps technologies, showcasing expertise in automation, CI/CD, and cloud infrastructure management. To verify these certifications, click on any certification image below or visit my official Credly profile.

AWS Certified DevOps Engineer – Professional

AWS Certified Cloud Practitioner

Microsoft Certified: Azure Fundamentals

Associate Cloud Engineer Certification

Projects

1. HUMD.AE – AI Powered Business Essentials Platform

Deployed and managed a multi-portal cloud application on an Azure VM using Kubernetes. Automated deployments through GitHub Actions, Docker, and Helm. Implemented Prometheus and Grafana for monitoring and the EFK Stack, Fluent Bit, Kibana for centralized logging.

Technologies: Azure | Kubernetes | Docker | GitHub Actions | Nginx | Traefik | Prometheus | Grafana | Elasticsearch | Fluent Bit | Kibana | Helm | Cert-Manager | Linux | CI/CD | Monitoring & Logging

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2. Watnxt – Career & Education Platform

Developed and deployed an AI-powered career development platform that connects students, professionals, and employers. Deployed on AWS using Docker and Nginx for scalability and SSL security. Integrated Node.js and Python backends with GitHub CI/CD pipelines for automated deployments.

Technologies: AWS | Docker | Nginx | Node.js | Python | GitHub | CI/CD | Certbot | Ubuntu Server

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3. Wezo – AI Interview Assistant Platform

Developed and deployed an AI-driven interview assistant platform designed to help recruiters identify the best applicants automatically. When a bulk job application is uploaded, the system analyzes candidate profiles, evaluates job relevance, and returns the most suitable applicants using AI-based scoring and ranking algorithms. Deployed using Docker on cloud infrastructure for scalability and high availability.

Technologies: Docker | Node.js | Python | Nginx | GitHub | CI/CD | Cloud Deployment | HTML | CSS | JavaScript

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4. Mobile Payment Application.

Developed and launched a mobile payment application, increasing user engagement by 20% within three months through a user-friendly interface. Constructed a user-friendly interface, resultingin a 20% increase in user engagement within the first three months of release.

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5. My Portfolio

Designed and deployed a personal portfolio using Docker and Kubernetes for containerization and orchestration. Integrated CI/CD pipelines to streamline updates, and utilized Prometheus and Grafana for real-time monitoring of system performance. This project demonstrates proficiency in modern DevOps practices, focusing on automation, scalability, and observability.

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Contact

Feel free to reach out

surics47@gmail.com +918445161147