Thoughts on AI, product
& engineering.
Writing about what actually works when building AI products, leading engineering teams, and turning vague problems into shipped solutions.
A Comprehensive Guide to Ethereum Blockchain (Part 1)
Deep dive into Ethereum architecture, consensus mechanisms, and the fundamentals of building on the blockchain.
A Comprehensive Guide to Ethereum Blockchain (Part 2)
Smart contracts, Solidity basics, and how decentralized applications actually work under the hood.
A Comprehensive Guide to Ethereum Blockchain (Part 3)
Building and deploying your first dApp — from development environment setup to mainnet deployment.
Android Hilt Integration and Usage
A practical guide to implementing dependency injection in Android applications using Hilt.
Google Cloud Vision API
Exploring Google's Cloud Vision API for image analysis — setup, integration, and real-world use cases.
How we replaced a $5,000 physical meter with a phone camera and an ML model
The story behind the patented DOI scoring system — from identifying the problem to filing the patent.
We built an AI agent that writes user stories. Here's what we learned.
Lessons from building a Business Analyst AI Agent — prompt engineering, template design, and accuracy trade-offs.
How a GitHub campaign with gamification led to 130+ open-source contributions in one year
The Today_i_Fixed story — why it worked, what we'd do differently, and the ripple effects on hiring and culture.
Before writing a single line of code, I ask these 5 questions about every new project
The mental model I use to go from a vague problem to a clear product plan — applicable to any domain.