Chinmay Vaidya

With over 4 years of experience as a DevOps and AWS Cloud Infrastructure Engineer, I specialize in building "self-healing" infrastructure that scales with the demands of modern software. I bridge the gap between complex codebases and reliable, high-performance deployments, particularly for organizations scaling AI and Machine Learning workloads.
My expertise lies in architecting secure, automated environments using Terraform, AWS EKS, and robust CI/CD pipelines. Having managed hybrid infrastructures spanning both AWS Cloud and local bare-metal servers, I bring a unique "full-spectrum" perspective to system observability (Prometheus/Grafana) and reliability.
How I add value to your project:
Infrastructure as Code (IaC): I don’t just "set up" clouds; I script them using Terraform and CloudFormation to ensure your environment is reproducible and cost-optimized.
Kubernetes & Orchestration: Deep experience with EKS and Docker to ensure zero-downtime deployments and efficient resource scaling.
Transitioning to AI/MLOps: I am currently helping teams automate the lifecycle of Large Language Models (LLMs) and ML retraining pipelines, ensuring that your AI models move from notebooks to production seamlessly.
Security & Monitoring: Implementing end-to-end observability and AWS-certified security best practices to protect your data and stay compliant.

Core Tech Stack:
Cloud: AWS (Certified Solutions Architect Associate)
Containerization: Kubernetes (EKS), Docker
Automation: Terraform, Jenkins, Python
AI/MLOps: Automated ML pipelines, LLM deployment infrastructure
Observability: Prometheus, Grafana
Whether you need to migrate an existing application to the cloud, optimize your Kubernetes clusters, or build the MLOps pipeline for your next AI product, I am here to help you deploy with confidence.