Rahul ladumor
AWS Certified Solutions Architect and MLOps / DevOps Engineer with over 9 years of experience designing, deploying, and operating secure, scalable cloud and AI-driven platforms across AWS and Azure. Proven expertise in containerization and orchestration with Docker and Kubernetes (EKS, AKS, OpenShift), enabling high-availability, multi-cluster deployments and large-scale application modernization. Strong background in building end-to-end CI/CD pipelines using GitHub Actions, Terraform, and Helm to drive automation across infrastructure, application delivery, and machine learning workflows. Extensive hands-on experience in Python development, building production microservices with FastAPI and Flask, designing robust API architectures, and supporting real-time applications with WebSockets and streaming frameworks. Skilled in establishing MLOps pipelines, deploying and monitoring ML models in production, and optimizing GPU-based workloads for performance and cost efficiency. Experienced with vector databases, embedding-based systems, and large-scale PostgreSQL environments. Deep understanding of cloud security, observability, and disaster recovery planning.
REVIEWS FROM CLIENTS
Architected cloud infrastructure for ASTM's digital transformation initiatives, enhancing operational efficiency. Designed scalab...
Architected cloud infrastructure for ASTM's digital transformation initiatives, enhancing operational efficiency. Designed scalable AWS solutions for standards management and compliance systems, ensuring robust performance. Implemented infrastructure-as-code using Terraform and AWS CDK to streamline deployment processes. Provided expert guidance on cloud security, cost optimization, and operational excellence, driving best practices across teams.
Trained large language models on AWS infrastructure patterns for Amazon's IaC RLHF project. Created high-quality training data to...
Trained large language models on AWS infrastructure patterns for Amazon's IaC RLHF project. Created high-quality training data to generate AWS CDK/CloudFormation code. Designed reusable TypeScript CDK constructs aligned with AWS Well-Architected principles. Validated AI-generated infrastructure code for security and cost efficiency.
Provided personalized 1:1 coaching to cloud professionals and engineers, enhancing their career trajectories. Specialized in AWS archi...
Provided personalized 1:1 coaching to cloud professionals and engineers, enhancing their career trajectories. Specialized in AWS architecture and cost optimization, helping startups save over INR 50L annually. Guided engineers transitioning into AI/ML roles with a focus on GenAI career paths. Conducted live debugging sessions addressing issues in Lambda, IAM, Terraform, and Bedrock.