Arunkumar Velusamy
Market Indicators
Raw notes used to play around with AI models — weekend reading material on markets. A tour through fund-manager surveys, sentiment gauges, valuation ratios and the three deficits.
Blogs
Notes and long-form writing, mirrored from my Medium.
Arunkumar Velusamy
Arunkumar Velusamy
AI Terms
An Attempt to Know It All When we read about AI topics, we realise we will never know them all. It is just overwhelming. This blog is just one of my many attempts to…
Arunkumar Velusamy
Frontend Revisited
A Developer’s Fresh Take on Modules, React, Bundlers and Micro-frontends Browser’s progress over the years 25–30 years ago, browser just opens HTML and reloads entire page for any change… like a document viewer. But…
Arunkumar Velusamy
AI Agent Engineering
Developer Tools, MCP, RAG, and Agentic Patterns with Claude Code Slash Commands, Subagents, Hooks,RAG, MCP and etc Custom Slash Commands /review-component src/components/Dashboard /check-security /explain-flow fetching bank portfolio data These commands are defined in .claude/commands/…
Arunkumar Velusamy
Neural Networks Demystified
Layers, Neurons, Activations, and Forward Propagation Computational model inspired by the human brain It will be hard to put everything into one single blog. Just want to keep it simple for quick reference. For…
Arunkumar Velusamy
Supervised Machine Learning — Classification
Logistic Regression & Classification From Sigmoid Functions to Decision Boundaries Classification is about predicting categories or labels, not continuous values. Instead of predicting a number like price (regression), you predict which class something belongs…
Arunkumar Velusamy
GPU?
Start with Core. What is core? There are genius people talk about single core , dual core, quad core and multi-core. Let start from here, Single Core Only one core was responsible for all…
Arunkumar Velusamy
Multiple Linear Regression
Vectorization, Feature Scaling, and Polynomial Regression Read the previous blog before start this Multiple feature When you started having multiple features, your function will become bigger. For example, To predict house price, we can…
Arunkumar Velusamy
Machine Learning — Get start
Linear Regression & Gradient Descent The Foundation of Supervised Machine Learning As I progress through the Supervised Machine Learning course by Andrew Ng on Coursera, I wanted to document my understanding of one of…
Arunkumar Velusamy
AI Toolbox
Essential Frameworks, Libraries, and Data Formats Explained in Two Lines PyTorch Open-source deep learning framework developed by Meta. It is widely used for machine learning (ML) and deep learning (DL) applications, such as computer…
Arunkumar Velusamy
AI Models at a Glance
A quick reference to the main AI model families — Machine Learning (supervised, unsupervised, reinforcement), Deep Learning (CNNs, RNNs, Transformers), and Generative AI (GANs, diffusion, LLMs).
Arunkumar Velusamy
Authentication Demystified
Authentication vs authorization, OAuth 2.0 and OpenID Connect, and how Single Sign-On ties login sessions, IdP cookies and multi-domain access together.
Arunkumar Velusamy
Understanding the AI Landscape
How AI, Machine Learning, Deep Learning, Generative AI and Data Science fit together — from traditional rule-based systems to modern learning-based approaches.
Arunkumar Velusamy
DNS — Domain Name System
How the Domain Name System turns human-friendly names like www.google.com into IP addresses — TLDs, SLDs, FQDNs, subdomains, and how resolution works.
Arunkumar Velusamy
AWS Serverless
Running code in the cloud without managing servers — Lambda, DynamoDB, Cognito, API Gateway, event-driven design and pay-per-execution pricing.
Arunkumar Velusamy
AWS — Infrastructure as Code
Managing infrastructure through machine-readable definition files — comparing Elastic Beanstalk, CloudFormation, SAM and the AWS CDK.
Arunkumar Velusamy
Observability in AWS
Why and what to monitor in production — CloudWatch metrics, logs and events, EventBridge, CloudTrail auditing, and X-Ray tracing across microservices.