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Cloud Infrastructure • AI Systems • Distributed Architecture
Welcome to Engineering Field Notes — a structured repository of notes and explorations across cloud infrastructure, AI systems, and modern software architecture.
This site documents the systems I study, design, and experiment with — covering both foundational principles and real-world implementation patterns.
It serves as a continuously evolving archive of technical notes, architecture explorations, and system-building experiments.
This work follows the Silent Warrior philosophy — a disciplined approach to deep work, systems thinking, and technical mastery.
Alongside technology, I occasionally write reflections on resilience, discipline, and inner growth for those navigating personal and professional crossroads.
⚙️ Operating Principles
The work documented here follows a few simple principles:
Deep Work — focused exploration of complex systems without distraction
Systems Thinking — understanding interactions across infrastructure, models, and architecture
Build to Understand — implementing ideas to internalize how systems actually work
Document the Journey — maintaining structured notes for clarity and future reference
🎯 Current Focus
Areas I am currently exploring and building:
Game Backend Systems — building a game backend using Go + Python
Containerized Development — deploying services with Docker-based workflows
Service Architecture — experimenting with modular backend services and APIs
Systems Integration — connecting gameplay logic with scalable backend infrastructure
These notes evolve as I study, experiment, and build systems.
Explore my structured learning notes across Cloud and AI domains.
| Domain | Description | Explore |
|---|---|---|
| 🐳 Docker | Containers, images, networking, deployments | Open |
| ☁️ GCP | Cloud architecture, IAM, networking, serverless | Open |
| 🤖 LLM | Prompt engineering, RAG, agents, embeddings | Open |
| 📊 ML | ML systems, pipelines, model deployment | Open |
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Containers are not a single technology.
If we imagine containers with only namespace and chroot, we are able to isolate processess and networking. Imagine a setup where multiple containers are runn...
A process inside a namespace sees its own “version” of the system. In other words, a namespace makes process think that it is alone on the system. It basi...
It is a linux system call that changes the root directory(/) for a process. Normally every linux process sees the same filesystem tree like this: ...
Docker was first released in March 2013. It is developed by Solomon Hykes & Sebastien Pahl. Docker is a set of platform as a service (PAAS) that uses OS...
Before we dive deep into Artificial Intelligence (AI) and Machine Learning (ML), it’s important to understand what intelligence really means and how we can m...
With this post , we begin to explore cloud envrironment. When i first started studying clouds, it seemed very hard and complex because of so many interdepend...
With this post , we begin to explore cloud envrironment. When i first started studying clouds, it seemed very hard and complex because of so many interdepend...
Bag of Words
A beginner-friendly glossary of key terminology used in Large Language Models (LLMs) and natural language text processing.
Large Language Models (LLMs) have existed for years, but they entered mainstream awareness in 2022 with the launch of ChatGPT.