- Established a Jenkins pipeline tailored for Python package generation and efficient deployment to AWS CodeArtifact, facilitating seamless integration for the MLOps team.- Implemented a comprehensive monitoring system using Prometheus for API and UI, coupled with visualization capabilities through Grafana, ensuring effective oversight and real-time insights into system performance.- Orchestrated the setup of an AWS IPsec site-to-site VPN, ensuring secure and private access for enhanced data protection and network confidentiality.- Configured and implemented public cloud infrastructure for enterprise applications, optimizing AWS (API Gateway, Cognito, Lambda, Amplify, ECS, RDS, S3, Route53, ELB, VPC, etc.) using Terraform module template and Jenkins to deploy the resources.- Applied CI/CD principles and automated testing practices to streamline the ML development lifecycle, leading to a 30% reduction in critical bugs and an overall improvement in the stability of the ML system.- Implemented a backend solution for file-sharing portal upload utilizing Lambda (python runtime), S3, API gateway, Cognito, and Google authentication.- Integrated Bitbucket's features for version control, code review, and CI/CD, enhancing team collaboration, code quality, and automated software deployment for efficient and error-free development.- Integrated GitLab’s features for version control, code review, and CICD, enhancing team collaboration, code quality, and automated software deployment for efficient and error-free development.-Leveraged ELK to pre-process, analyze and visualize big data via GCP Dataproc cluster

- Increased operational efficiency by 40% through the implementation of automated DevOps tools deployment and Blue-green deployment strategies.- Constructed secure, scalable, and highly available networks for our applications and workloads with constant high performance and extensive global coverage in AWS- Improved development pipeline monitoring by integrating Prometheus as a monitoring source and utilizing Grafana for visualization, leading to a 20% reduction in system issues.- Automated Python package build, testing, documentation generation, and AWS CodeArtifact publishing, improving code quality and package management efficiency.- Managed and optimized relational and NoSQL databases, including PostgreSQL, MySQL, DynamoDB, and MongoDB, ensuring high performance and availability.

- Achieved 30% better scalability and reliability in web applications by deploying with Terraform on Amazon ECS and RDS.- Configured linting, unit testing, Docker image creation, ECR push, and automatic deployment using Jenkins, reducing manual intervention and enhancing release consistency.- Integrated and managed Kubernetes cluster within project workflows, enhancing scalability and container orchestration.- Created and maintained comprehensive technical documentation for IT systems and solutions, ensuring clarity and accessibility for PODs.- Collaborated with customers and stakeholders to gather requirements, assess feasibility, and recommend design solutions for IT projects.- Provided technical support to users with varying levels of IT knowledge, effectively troubleshooting issues and offering guidance.- Conducted routine preventative measures to maintain system security and performance, including log analysis and vulnerability reviews.

- Implemented robust security measures in AWS infrastructure, mitigating security risks by 35%.- Achieved 25% more efficient operational management using AWS System Manager to automate tasks.- Designed for high availability and business continuity using self-healing-based architectures, fail-over routing policies, multi-AZ deployment of EC2 instances, ELB health checks, Auto Scaling, and other disaster recovery models.- Assisted customers with designing, implementing, and deploying AWS solutions, helping them identify the best deployment options for their use case.- Successfully managed and maintained identity and access controls (IAM) for a diverse range of users within the organization via SSO using Terraform.- Implemented security best practices in AWS including multi-factor authentication, access key rotation, encryption using KMS, firewalls- security groups and NACLs, S3 bucketpolicies, and ACLs, mitigating DDOS attacks using AWS Shield, and AWS WAF to prevent cross-site scripting and SQL injections.