(Oct 2023 - Present)
Cloud Infra Specialist
Crenspire Technologies
constsecurity={name:'Harsh Shah',skills:['AWS', 'Azure', 'Kuberbetes', 'Docker', 'Terraform', 'GCP', 'Bash'],hardWorker:true,quickLearner:true,problemSolver:true,hireable:function() {return(this.hardWorker&&this.problemSolver&&this.skills.length>=5);};};ABOUT ME
Who I am?
My name is Harsh Shah. I am a Cloud Infrastructure and DevOps Engineer with experience in designing, deploying, and securing scalable cloud environments, specializing in AWS, Kubernetes, Terraform, CI/CD, and cloud automation. I work with cloud infrastructure, containerized workloads, Linux systems, and deployment automation to build reliable and secure solutions. With a strong interest in cloud security, I focus on applying security best practices, automation, and infrastructure as code to improve reliability and operational efficiency. Passionate about cloud and DevOps technologies, I continuously expand my expertise to build resilient, scalable, and secure infrastructure.
Experiences
(Oct 2022 - Oct 2023)
Cloud Devops Engineer
Electromech cloudtech
(June 2020 - Oct 2022)
Cloud Engineer
Rishabh Software
Skills
PROJECTS
AWS AI & Machine Learning Platform
constproject={name:'AWS AI & Machine Learning Platform',tools: ['Amazon SageMaker', 'Amazon Bedrock', 'Amazon Glue', 'Amazon Redshift', 'Amazon Comprehend', 'Amazon Rekognition', 'Amazon Textract', 'AWS Lambda', 'Amazon Athena', 'Amazon S3],myRole:Cloud & AI/ML Engineer,Description: Built an end-to-end AI and machine learning platform on AWS covering data ingestion, processing, model development, training, deployment, and inference. The architecture integrates managed AI services and analytics components to support scalable machine learning workloads and intelligent application capabilities.,};Production Kubernetes Platform
constproject={name:'Production Kubernetes Platform',tools: ['Kubernetes', 'AWS EKS', 'Docker', 'Helm', 'Ingress', 'Horizontal Pod Autoscaler', 'RBAC', 'Prometheus', 'Grafana', 'Argo CD],myRole:Cloud & DevOps Engineer,Description: Designed and managed a production-style Kubernetes platform focused on container orchestration, workload scheduling, networking, security, scaling, and observability. The project demonstrates cluster administration, application lifecycle management, automated scaling, service discovery, and Kubernetes troubleshooting.,};Multi-Cloud Disaster Recovery with Terraform
constproject={name:'Multi-Cloud Disaster Recovery with Terraform',tools: ['Terraform', 'AWS', 'Microsoft Azure', 'AWS RDS', 'AWS Route 53', 'AWS Elastic Disaster Recovery', 'Azure Site Recovery', 'Azure Traffic Manager', 'Azure Blob Storage', 'GitHub Actions],myRole:Cloud Infrastructure Engineer,Description: Designed a multi-cloud disaster recovery architecture with AWS as the primary production environment and Microsoft Azure as the secondary recovery environment. Terraform provisions and manages infrastructure across both cloud platforms, with automated recovery workflows, data replication, and DNS-based failover designed to maintain application availability during a primary-cloud outage.,};Educations
2016 - 2020
Bachelors: B-Tech - CSE
Parul University, Vadodara
2012 - 2014
Higher Secondary education
The Mother's School, Vadodara
Blogs
4 days ago
8
1
Two Rust Clients for Gemma 4: Calling the Endpoint vs. Calling the MCP Server 🦀
17 Min Read
Step by step: a Rust HTTP client (reqwest) and a Rust MCP client (rmcp) ask Gemma 4 E2B the same question on a local llama.cpp GPU and on Cloud Run — what each one can see, and what each one costs.
12 hours ago
28
20
Top 7 Featured DEV Posts of the Week
3 Min Read
Welcome to this week's Top 7, where the DEV editorial team handpicks their favorite posts from the...
21 days ago
148
139
What Do You Do While AI Codes?
4 Min Read
AI coding agents leave you with 5-to-20-minute gaps all day. Five real ways I fill them — and the one "quick" habit that makes you the bottleneck.
14 days ago
136
80
Building With AI When You Don't Know Architecture: A Survival Guide
7 Min Read
Let me describe a moment you might recognize. You had an idea for an app. You didn't know how to...
5 days ago
8
1
2B Gemma 4 Deployment with Cloud Run, NVIDIA L4, MCP SDK 2.x, and Claude Code
13 Min Read
Step by step deployment of Gemma 4 E2B to a Cloud Run NVIDIA L4 GPU with vLLM, managed by a Python MCP server migrated to the MCP SDK 2.x.
4 days ago
8
3
Autoscaling Docker Containers Without Kubernetes: How Gubernator Scales CPU & GPU Workloads Automatically
4 Min Read
Discover how Gubernator delivers declarative Horizontal Pod Autoscaling (HPA) for plain Docker Compose stacks with CPU and NVIDIA GPU metrics across multi-node clusters.