Junaid Iqbal Darzi
Hyderabad
Summary
Hands-on experience in DevOps, Cloud Infrastructure, CI/CD Pipeline Automation, and Infrastructure as Code (IaC). Proficient in Terraform, Jenkins, Docker, Git, Bash Scripting, and Linux Administration. Experienced with AWS services including EC2, RDS, S3, ALB, Auto Scaling, Route 53, CloudFront, and ECR. Skilled in containerization, DNS management, cloud security, system monitoring, and automated deployment workflows. Built and delivered production-grade CI/CD pipelines and scalable AWS environments in a live DevOps internship at Mroads. B.Tech in Computer Science Engineering (AI & ML), graduating 2026. Seeking a DevOps Engineer role to contribute to scalable, secure, and fully automated infrastructure solutions.
Overview
1
1
year of professional experience
1
1
Certification
Work History
DevOps Intern
Mroads
Hyderabad
10.2025 - Current
- Provisioned and managed AWS infrastructure (EC2, RDS, Route 53) using Terraform, implementing scalable Infrastructure as Code practices.
- Built and automated CI/CD pipelines using Jenkins, integrating build, test, and deployment workflows.
- Containerized applications using Docker and integrated container workflows into CI/CD pipelines.
- Managed DNS configurations in Route 53, including hosted zones, A records, and NS delegation.
- Migrated infrastructure from CloudFormation to Terraform, improving flexibility and lifecycle management.
- Configured Linux-based EC2 servers and enforced security using AWS Security Groups.
- Implemented monitoring and alerting using Bash scripts and cron for CPU, memory, disk, and service health.
- Deployed scalable architectures using ALB, Auto Scaling Groups, S3, and CloudFront, including HTTPS and cache optimization.
- Used Git for version control and integrated build tools within CI/CD pipelines for automated delivery.
AI & ML Intern
HirotoInd Technologies
Hyderabad
04.2025 - 05.2025
- Preprocessed datasets and optimized ML models using TensorFlow and scikit-learn, contributing to performance improvements during 45-day on-site internship.
- Performed code reviews, debugging, and data-driven analysis that strengthened automation and scripting skills applied in DevOps work.
Education
B.Tech - Computer Science Engineering (AI & ML)
01-2026
Intermediate - MPC
01-2022
Skills
- Cloud & Infrastructure: AWS (EC2, RDS, S3, Route 53, CloudFront, ALB, Auto Scaling)
- Infrastructure as Code (IaC): Terraform, AWS CloudFormation
- CI/CD & Automation: Jenkins (Pipeline as Code), End-to-End CI/CD Workflows
- Containerization: Docker
- Operating Systems: Linux (Ubuntu)
- Version Control: Git
- Scripting & Automation: Bash (Shell Scripting, Cron-based Automation)
- Networking & Security: DNS, HTTP/HTTPS, Load Balancing, AWS Security Groups
- Monitoring & Reliability: System Monitoring, Log Analysis, Troubleshooting
Projects
MNC Insight Pulse - CI/CD Pipeline
Tech: Jenkins, AWS CloudFormation, EC2, Nginx, rsync
- Built an end-to-end CI/CD pipeline (GitHub → Jenkins → CloudFormation → EC2 → Apache).
- Automated infrastructure provisioning using CloudFormation (IaC).
- Enabled zero-touch deployments with Jenkins automation.
- Optimized deployments using rsync.
- Eliminated manual intervention, ensuring fast and consistent releases.
Scalable AWS Infrastructure & Containerized Deployment
Tech: Terraform, AWS (EC2, RDS, ALB, S3, CloudFront, Route 53), Docker, Amazon ECR
- Provisioned scalable AWS infrastructure using Terraform (EC2, RDS, ALB, Auto Scaling, S3, CloudFront)
- Containerized a three-tier application using Docker and implemented deployment via ECR → EC2 workflow
- Built and pushed Docker images to Amazon ECR and deployed containers on EC2 instances
- Integrated RDS as a cloud-native database to enhance scalability and reliability
- Designed DNS architecture by separating DNS into a dedicated Terraform module and updating pre-existing Route 53 A records using EC2 IP from remote state
- Implemented secure networking and traffic routing using Security Groups and Application Load Balancer
Image De-Photobombing
Tech: Deep Learning, SAM, LaMa, Fast Fourier Convolutions, PyTorch
- Developed production-ready system to detect and remove photobombers with realistic inpainting .
- Demonstrates strong Python and model deployment skills transferable to DevOps automation.
Certification
- AWS Certified Cloud Practitioner (CLF-C02), Scored - 837/1000 - Valid Till - 2029-03-14
- Cyber Security, Skill Dunia × E-Cell, IIT Hyderabad
- Machine Learning
- Web Development
- SQL
Accomplishments
- Organizer — 2nd International Conference on AI & Data Science
- Finalist — State-level Science Talent Search Examination
Timeline
DevOps Intern - Mroads
10.2025 - Current
AI & ML Intern - HirotoInd Technologies
04.2025 - 05.2025
Sreyas Institute of Engineering & Technology - B.Tech, Computer Science Engineering (AI & ML)
Narayana Junior College - , Intermediate - MPC