Shivali Sharma

📞 - | Shivali Sharma linkedin/shivali-sharma | ✉️- EDUCATION Jawahar Lal Nehru Govt. Engineering College, Sundernagar, HP B.Tech - Electronics and Communication Engineering 2015 – 2019 DAV Barmana, HP Intermediate 2014 – 2015 TECHNICAL SKILLS Cloud Platforms: CI/CD Tools: Containerization & Orchestration: Scripting & Linux Administration: Infrastructure as Code: Version Control: AWS (EC2, S3, VPC, RDS, ECS, EKS) Jenkins Docker, Kubernetes Bash, Linux Server, Management, User & Permission Control Terraform, CloudFormation GitHub WORK EXPERIENCE DevOps Engineer Techo Clouds, Ludhiana, India Jan 2024 – Present (Promoted from Intern) ●​ Orchestrated Docker and Kubernetes (EKS, ECS) to streamline containerized deployments, enhancing application scalability and fault tolerance. ●​ Engineered CI/CD pipelines using Jenkins to automate build, test, and deployment processes, reducing release cycles by 50% and improving deployment consistency. ●​ Automated infrastructure provisioning and configuration using Terraform and Ansible, achieving infrastructure consistency and reducing manual effort by 60%. ●​ Optimized AWS services (EC2, S3, VPC, EBS, RDS) to support high-availability, scalable, and secure cloud-based deployments. ●​ Strengthened security and access management by configuring IAM roles and policies, ensuring least privilege access and enhancing system security. PROJECTS CI/CD Pipeline with ECR & Jenkins (Webhook Integration) Tech Stack: Jenkins, Docker, GitHub, AWS ECR, AWS ECS, HTTPD ●​ Developed an automated CI/CD pipeline triggered by GitHub commits. ●​ Built and pushed Docker images to AWS ECR for versioned storage. ●​ Deployed updated containers to AWS ECS, ensuring zero-downtime deployment. AWS Infrastructure Automation Using Terraform Tech Stack: Terraform, AWS (EC2, VPC, ALB, S3) ●​ Automated provisioning of EC2, VPC, Security Groups, and Application Load Balancer using Terraform. Configured Terraform to initialize, validate, plan, and apply infrastructure changes automatically. ●​ Created and managed an S3 bucket for storing static files with lifecycle management. ●​ Enhanced deployment efficiency and infrastructure consistency through automated state management. Terraform-based RDS monitoring Tech Stack: Terraform, AWS (RDS, CloudWatch, SNS), Infrastructure as Code, Monitoring & Alerting ●​ Automated RDS monitoring using Terraform, deploying CloudWatch metrics and alarms. ●​ Configured critical & warning alerts for database health (CPU, memory, storage). ●​ Integrated SNS notifications for real-time alerting and incident response. Classification of Focal Liver Lesions Using Ultrasound Images Tech Stack: Python, MATLAB, Machine Learning, Image Processing ●​ Designed a custom Deep Neural Network (DNN) for liver lesion classification. ●​ Processed ultrasound images and achieved ~ 86% accuracy in distinguishing benign & malignant lesions. ACHIEVEMENTS ●​ Top 50 National Selection in Huawei Test. ●​ Certificate of NSS (National Service Scheme) on college level. ●​ Certificate of Appreciation from Jawaharlal Nehru Govt. Engineering College for Project Gallery. ●​ Attended two days workshop on Basic Electronics organized by IETE club of Jawaharlal Nehru Govt. Engineering college, Sundernagar. ●​ Volunteered at Vasudha NGO, contributing to healthcare, hygiene awareness, clean water access, and education for underprivileged communities. TRAININGS ●​ Six Weeks Industrial Training in Linux OS - CBitss Chandigarh ●​ Completed multi-level certified training (Silver, Gold, Platinum) at RTTC BSNL Rajpura. ●​ Industrial Training – CSIR-Central Scientific Instruments Organisation, Chandigarh (Liver Lesion Classification)