Love-Hate Relationship with AI

How a technology that helps with everyday life also makes us worry about jobs, identity, and what it means to be “useful.”

How I Use Machine Learning Every Day as an AI Engineer (Without Overcomplicating Everything)

A honest, behind‐the‐scenes look at my real ML workflow: messy notebooks, tiny scripts, and knowing when to skip fancy agentic setups.

How I Turned My Portfolio Into an Automated, AI‐Powered Website

Rebuilding my developer portfolio so it updates itself

How F‐1 Students Can Safely Start Investing in the US (Without Messing Up Their Visa or Taxes)

A guide to how F‐1 visa holders can invest in US stocks, what’s actually allowed, what to watch out for, and how apps like Robinhood fit into the picture.

Understanding 401(k), IRA, Roth IRA, Regular Investing, and HSA in Plain Language

This guide walks through five common buckets in simple terms: 401(k), traditional IRA, Roth IRA, regular taxable investing, and HSA.

“Sleep at Night” Investing: Designing a Plan You Can Emotionally Handle

Before You Use AI to Invest, Learn the Basics of Investing

Agents vs Traditional Automation in Finance

It is about understanding where simple rules are enough and where real context and judgment start to matter

Crafting Clear Prompts

A Practical Guide to Getting Better Answers from AI

Designing Guardrails for AI Financial Advice

How to Let Agents Help With Money Without Letting Them Run Wild

Practical Financial Planning

Detailed Steps You Can Actually Follow. The goal is to show you exactly what to do, how to do it, and why each step matters.

Financial Planning for Real Life

The Human Story Behind Modern Digital Advice

Context Windows and Real-Time Updates: Building Smart, Live Agents on Google Cloud

Here's a hands-on, descriptive look into how these pieces come together for live, context-aware workflows without hype.

Building Multi-Agentic Workflows with the Agent Development Kit (ADK) - A Practical Guide

In 2025, using the Agent Development Kit (ADK) to assemble intelligent, multi-agent systems is quickly moving from an advanced specialty to a routine part of modern software work.

Model Context Protocol: Connecting AI to Real-World Tools and Data

MCP is a new open standard designed to help AI applications work seamlessly with the tools and data people use every day.

AI Agents at Work: How Digital Co‐Workers Are Transforming Cloud Teams in 2025

AI agents are no longer just assistants that fetch information or summarize data. They are now a part of daily cloud operations.

Cost and Performance: Optimizing Vertex AI Pipelines for Real-World Usage

I’ve learned how small architectural choices and smarter configurations can save a lot without hurting performance.

The Rise of Generative AI Engineers: Career Opportunities in 2025

This article explores the surge in generative AI engineer opportunities, the skills employers seek, and how different backgrounds can lead to thriving careers in this fast-evolving space.

Getting Started with Vertex AI Agent Builder: A Beginner’s Guide to Building AI Agents on Google Cloud

Step-by-step walkthrough of Vertex AI Agent Builder features, real-world uses, and simple setup instructions for new users

Getting Started with Google Cloud Apigee: A Simple, Hands-On Guide

A tool from Google Cloud that helps you handle APIs much more easily

How I Passed the Google Cloud Professional Machine Learning Engineer Certification

A Step-by-Step Guide on passing the PMLE Certification from Google Cloud

Cloud ML Deployment: Common Pitfalls and How to Avoid Them

Common Challenges in Deploying Machine Learning Models on Google Cloud Platform and How to Overcome Them

Building Your First Cloud Portfolio

Simple Steps for Beginners

How I Passed the Google Cloud Associate Cloud Engineer Certification

An Honest, Step-by-Step Guide

How to Build Smart Agents on Google Cloud Platform

A Practical Guide for Beginners and Teams