Raja Ramesh SP

 AI Tool Implementation on AWS: Developed and deployed machine learning models using AWS AI services, including Amazon SageMaker for model training and tuning, and AWS Lambda for scalable model inference, enhancing predictive analytics and automation workflows.  Google Cloud AI Solutions: Leveraged Google Cloud AI tools such as Vertex AI and AutoML to build, deploy, and manage custom models for natural language processing and image analysis, improving operational efficiency and data-driven decision-making.  AI Model Integration with AWS Bedrock: Experienced in deploying and fine-tuning foundational models using AWS Bedrock, enabling seamless integration of custom AI models into scalable applications for diverse business use cases.  Architected and implemented Google Cloud Platform (GCP) security strategies, focusing on identity and access management (IAM), encryption, and network security to safeguard sensitive data and infrastructure.  Conducted comprehensive security assessments and risk analyses of GCP environments, identifying vulnerabilities and implementing security controls aligned with industry standards and compliance frameworks (e.g., GDPR, HIPAA, SOC 2).  Enforced encryption standards (in transit and at rest) across GCP workloads using Google-managed keys and Customer-Supplied Encryption Keys (CSEK) to meet compliance requirements for highly regulated industries.  Led the architecture and deployment of failover solutions using automated DR tools and Infrastructure as Code (IaC), reducing recovery time objectives (RTO) and recovery point objectives (RPO) by 50% across cloud and on-premise systems.  Led seamless migrations of on-premises and multi-cloud SQL databases (MySQL, PostgreSQL, Oracle) to Azure SQL Databases, ensuring zero downtime using advanced migration techniques such as Azure Database Migration Service (DMS), transactional replication, and log shipping.

• Experience with AWS, Azure and GCP Cloud Environments, Docker, Kubernetes Container technologies. • Capability to develop technical solutions to complex business problems from POC to development, testing, production implementation and support. • Experience in design architecture for Migrations, Deployment of applications, preparing RFP, RFQ and RFI for multiple cloud environments. • Hands on experience on Google Cloud Platform (GCP) services like Kubernetes Engine, Compute Engine, App Engine, Cloud Functions, Cloud Run, Cloud KMS, Datastore, Fire store, Storage, Cloud SQL, Spanner, Pub/Sub, Dataflow, Stack driver Monitoring, VPC, Load balancing and Cloud Armor. • Micro Services Architecture and deploying the application on public/private cloud platforms across AWS, Azure and GCP. • Experience on Azure Cloud Services like Infra assessment, Deployment, SQL Azure , NoSQL, Storage, Network services, Azure Active Directory , API Management, Scheduling, Auto Scaling, and Automation using Power Shell Scripts. • Experience in using tools like Docker Compose, Kubernetes, for Orchestrating and deploying the services related to the Containers and with container-based deployments using Docker, working with Docker images, Docker hub. • Experience in designing a Terraform scripts and deploying the infrastructure on Azure, AWS Cloud Environments. • Terraform scripts deployments using deployment manager to spin up resources like cloud virtual networks, Compute Engines in public and private subnets in Google Cloud Platform.

• Expert-level experience with Amazon EC2, Amazon S3, Amazon RDS, Amazon Elastic Load Balancing, Amazon SQS, and other services of the AWS family. • Deploy, Migrate, Secure and Manage Linux-based infrastructure • Automation using Ansible and DevOps tools with attention to detail, documentation, standardization, procedures and policies • Initiated DevOps culture between operations, development, and database departments • Experience with OpenStack / OpenShift, Docker and Kubernetes

• Expert-level experience & knowledge of Amazon EC2, Amazon S3, Amazon RDS, Amazon Elastic Load Balancing, Amazon SQS, and other services of the AWS family. • Reduced ticket and security audit time by designing a configuration management service for Linux Servers. • Initiated DevOps culture between operations, development, and databased departments - Involved in architecture, development for RESTful based web applications

• Experience with AWS, VMWare Cloud Management Services. • Deploy, Migrate, Secure and Manage Linux-based infrastructure • Expert-level experience & knowledge of Amazon EC2, Amazon S3, Amazon RDS, Amazon Elastic Load Balancing, Amazon SQS, and other services of the AWS family. • Reduced ticket and security audit time by designing a configuration management service for Linux Servers. • Initiated DevOps culture between operations, development, and databased departments • Deployed a password management service to meet security audit requirements.

Project Planning, Documentation, Development, Maintenance and Delivery Development of Web Applications

Project Planning, Documentation, Development, Maintenance, and Delivery Web Application Development using Open source technologies and .Net framework

Development of Web Applications. Documentation, Code Development, Delivery & maintenance