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sahil5206/README.md

☁️ Cloud • ⚙️ DevOps • 🚀 AI Inference & Platform Engineering



👋 About Me

I’m a Cloud & DevOps Engineer focused on building scalable, observable, and production-ready systems.

My work emphasizes:

  • Real infrastructure automation (not console-clicking)
  • Kubernetes-based distributed systems
  • CI/CD pipelines that survive change
  • Monitoring, alerting, and SRE principles
  • Event-driven and cloud-native architectures

Hands-on experience across AWS, Azure, GCP, and Oracle Cloud Infrastructure (OCI).


🧩 Core Skill Set

Domain Technologies
☁️ Cloud Platforms AWS, Azure, GCP, OCI
⚙️ Containers & Orchestration Docker, Kubernetes
☁️ MLOps Azure ML
🏗 Infrastructure as Code Terraform
🏗 Configuration Management Ansible
🔁 CI/CD Jenkins, GitHub Actions
📊 Observability Prometheus, Grafana
📡 Event Streaming Apache Kafka
💻 Programming Java, Python, Go, Bash
🐧 OS & Networking Linux, Cloud Networking
🔐 Version Control Git, GitHub
📡 Communication Protocol gRPC, REST

🛠 Tech Stack


📜 Certifications

🟢 Oracle Cloud Infrastructure (OCI)


🟢 DevOps Certication


🟢 Google Cloud Skill Badges


🟢 Java Certification


🚀 Featured Projects

🔹 End-to-End Azure MLOps Pipeline

Azure ML • Jenkins • ACR • AKS • Azure Load Testing
End-to-end Azure MLOps pipeline for containerized ML deployment on AKS with Terraform, Jenkins, ACR, Docker, and Azure Load Testing.


🔹 OpenAI API based Document Reader Deployment on GCP

GKE • GitHub Actions • Docker • VPC • Monitoring
End-to-end CI/CD pipeline and Deployment with scalable infrastructure.


🔹 AWS AI-LLM Deployment & Inference using vLLM Engine

AWS • vLLM • Docker • Streamlit • Inference Platform • CUDA Compatible
Deployment of an LLM model using an Inference Engine (vLLm in this project) on AWS cloud with streamlit frontend with Docker and CUDA.


🔹 Azure Hybrid Cloud Migration & Choas Engineering

Azure • Re-Platforming • AKS • Chaos Engineering
A multimodal hands-free computing framework using gesture, eye, and voice input.


🔹 AWS URL Shortener

AWS • Event-Driven Architecture
A highly scalable URL-shortening service similar to TinyURL.


🔹 Production-Grade Cloud Architecture (Netflix-Style)

Kubernetes • Kafka • Terraform • CI/CD • Prometheus • Grafana
Designed and deployed a distributed microservices system with autoscaling, monitoring, and fault isolation.


🔹 Gesture-Based Touchless Computing System

OpenCV • MediaPipe • AI • Docker
A multimodal hands-free computing framework using gesture, eye, and voice input.


🔹 Configuration Management using Ansible

Azure • Ansible • Nginx • Terraform
Managing the configuration of Nginx server on Azure VM using Ansible.


📫 Contact


Building systems for real users, real traffic, and real failures.

Pinned Loading

  1. Azure-MLOps-pipeline Azure-MLOps-pipeline Public

    End-to-end Azure MLOps pipeline for containerized ML deployment on AKS with Terraform, Jenkins, ACR, Docker, and Azure Load Testing.

    HCL

  2. AWS-Serverless-URL-Shortener AWS-Serverless-URL-Shortener Public

    Made a Serverless URL Shortener using AWS lambda and other services. You can learn about this project in this repository.

    Python 1

  3. GCP_GKE_Deployed_API_BASED_LLM GCP_GKE_Deployed_API_BASED_LLM Public

    Deployed a Gemini based LLM project on Google Kubernetes Engine (GKE). **I am facing some problems in GitHub Actions CI/CD pipelines in this project, if someone can help me please contact me..**

    HTML

  4. azure-cloud-migration-chaos-engineering azure-cloud-migration-chaos-engineering Public

    This project helps us to understand how large scale application migrates from private to public or hybrid cloud models. After the migration we have also done chaos engnineering (manually) to check …

    HCL

  5. AWS-VPC-Project AWS-VPC-Project Public

    This repository provides the approach to build the project on AWS Virtual Private Cloud (VPC).

    HTML

  6. azure-ansible-terraform-nginx-project azure-ansible-terraform-nginx-project Public

    This project guides to use Ansible, Terraform and Nginx on cloud VM (Azure is used in this project).

    HCL