AbhijayChauhan / README.md
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│ AbhijayChauhan@DevOps ------------------------------------------------------------------│
│ . OS: ........................................... Windows 11, Linux (Ubuntu) │
│ . Status: ....................................... BTech CSE (Cloud & ML, 4th Year) │
│ . Target Role: .................................. DevOps Engineer / Cloud Engineer │
│ . Primary Focus: ................................ CI/CD, Cloud & Automation │
│ . Tools & Tech: ................................. Docker, K8s, Jenkins, Actions, Tform │
│ . Cloud Platforms: .............................. AWS, GCP, Azure │
│ . Languages.Dev: ................................ Python, Bash, C++, SQL │
│ . Languages.Web/Data: ........................... HTML, CSS, JSON, YAML │
│ . Hobbies: ...................................... Gadgets, Knowledge, Automation │
│ . Philosophy: ................................... Clean Pipelines > Manual Ops │
│ │
│ - Contact Information ------------------------------------------------------------------│
│ . Email: ........................................ abhijaychauhan.dev@gmail.com │
│ . LinkedIn: ..................................... linkedin.com/in/theabhijaychauhan │
│ . GitHub: ....................................... github.com/theAbhijayChauhan │
│ │
│ - Current Sprint -----------------------------------------------------------------------│
│ . Learning: ..................................... Kubernetes, Terraform, System Design │
│ . Building: ..................................... CI/CD Pipelines & Cloud-ML Apps │
└──────────────────────────────────────────────────────────────────────────────────────────┘
Name: Abhijay Chauhan
Degree: BTech CSE — Cloud Computing + Machine Learning (3rd Year, 6th Sem)
Target_role: DevOps Engineer
Building_now: CI/CD pipelines & cloud-deployed ML projects
Learning_now: [Kubernetes, Terraform, System Design]
Hobby: collecting gadgets & knowledge
Stack: ▶ View Architecture[GitHub Actions] → [Docker Build]
↓
[AWS ECR Push] → [ECS/EKS Deploy]
↓
[TF Model API] → [CloudWatch] |
Stack: ▶ View Pipeline[Raw Data] → [Text Preprocessing]
↓
[TF-IDF Vectorize] → [Train Model]
↓
[Evaluate] → [Deploy API] |
Stack: ▶ View Flow[Mic Input] → [STT Engine]
↓
[Intent Parser] → [Task Runner]
↓
[TTS Response] → [Output] |
Stack: ▶ View Toolbox[Trigger] → [Script Engine]
↓
[API / File / DB Handler]
↓
[Log] → [Notify] → [Done ✓] |
💡 Daily DevOps Tip
August 19, 2026Jenkins pipelines should be written as
Jenkinsfilein your repo — not configured through the UI. This makes your CI/CD infrastructure as code, fully reviewable and versioned.📖 Quote of the day: "Life is a process. We are a process. The universe is a process." — Anne Wilson Schaef
