Hi, I’m Aman Dhaka 🚀

DevOps Engineer ➡️ Aspiring MLOps Specialist

Welcome to my digital space. I’m a 4th-semester BCA student currently dedicated to a 7-hour daily study grind to bridge the gap between traditional infrastructure and Machine Learning.

🛠️ The 2026 MLOps Roadmap

Target: High-Impact Internship by July

Phase Focus Area Key Tools & Goals
Month 1 Foundation & Linux Deep dive into Bash, Networking, and Ubuntu 25.10 optimization.
Month 2 Python for AI Mastering SpeechRecognition, Pyttsx3, and advanced automation.
Month 3 Cloud & Containers Mastering Docker and AWS (EC2, S3, IAM) for ML workloads.
Month 4 Orchestration Deploying scalable models using Kubernetes and Helm charts.
Month 5 ML Pipelines Implementing CI/CD for ML (DVC, MLflow, or Kubeflow).
Month 6 The Internship Hunt Project portfolio finalization and technical interview prep.

Why MLOps?

I believe infrastructure should be intelligent. From building voice assistants to managing virtualized clusters, my goal is to automate the entire lifecycle of AI—making it as reliable as a standard DevOps pipeline.


📝 Recent Posts

Building My Blog: AI Coding, Git & Vercel

Welcome back! If you're reading this, you are looking at my newly developed personal blog. But this isn't just a standard HTML website—it's a testament to the speed and power of modern AI-assisted development and automated CI/CD pipelines...

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