Ravindran Vasagam

FullStack|Solution Arch|Devsecops|Nodejs|Golang

Technology / Internet

Chennai, Chennai district

Services offered

Solution/Cloud/DevOps/Developer with over 20 years of enterprise experience driving transformation across cloud infrastructure and Apps automation, Experiencing in emerging technologies such as blockchain, Datascience and AI Trainings. Known for architecting resilient, cost-optimized cloud platforms and scalable that consistently meet high availability, performance, and compliance requirements in regulated environments. Skilled in aligning technology strategy with business objectives, reducing total cost of ownership (TCO), and leading cross-functional teams through complex modernization and innovation initiatives. Proven expertise in delivering end-to-end transformations that enhance time-to-market, boost operational agility, and elevate disaster recovery capabilities.

Cloud architect

Devops engineer

Solution architect

Fullstack developer

Approximate rate: USD$ 35 per hour

Experience

Cloud & Infrastructure: AWS, Azure, GCP, multi-cloud strategy, cloud security, solution design, network architecture, serverless computing, virtualization, data storage solutions, cloud-native applications, load balancing, edge computing, high availability planning. DevOps & Automation: Kubernetes, Docker, CloudFormation, CI/CD Pipeline Design, GitOps Workflows, Infrastructure as Code(IaC), Agile/Devops methodologies, project and change management, observability and reliability engineering. Security & Compliance: Identity and access management, Zero Trust architecture Cloud Security Posture Management (CSPM), vulnerability assessment and penetration testing (VAPT), DevSecOps integration, Regulatory Compliance frameworks(HIPAA, GDPR, SOC2). Blockchain & Emerging Tech: Hyperledger Fabric/Besu(EVM), Ethereum/Web3, Smart Contracts (Solidity), ERC Token Standards, QBFT consensus mechanism, Decentralized Identity (DID), Blockchain Governance. AI & Intelligent Automation: AI Workflow Orchestration, machine learning model integration (MLOps), predictive analytics, natural language processing (NLP), intelligent process automation (IPA), generative AI (LLMs, prompt engineering), Training model deployment and monitoring, AI-driven decision systems.