· 3 min
Cognitive Load Theory: How Less Thinking Helps You Think Better
A deep dive into Cognitive Load Theory — why it’s a game-changer for learning, memory, and decision-making.
Writing about tech, leadership, and engineering practices
Sharing insights from my journey as a Lead Engineer, covering topics from technical architecture to team leadership.
· 9 min
Vector Dimensions: Handle with Care
Understanding the role of vector dimensions in embeddings — what they mean, why they matter, and how to choose wisely.
· 8 min
Embeddings Demystified: Math, Meaning & Machines
A clear, human-style walkthrough of what embeddings really are — how they’re made, why they work, and what they power.
· 9 min
Synonymic Query Expansion for Smarter Search
A deep dive into how synonym-based query expansion improves search results in LLM-powered apps and enterprise tools. Real-world cases, design patterns, and tradeoffs.
· 9 min
Chain-of-Thought Prompting: Teaching LLMs to Think Out Loud
Part three in my prompt engineering series — this time we explore chain-of-thought prompting, where structured reasoning turns LLMs from guessers into guided problem solvers.
· 7 min
Few-Shot Prompting: The Middle Ground Between Effort and Accuracy
Part two in my prompt engineering series. In this post, I dive into few-shot prompting — when a little context goes a long way.
· 7 min
Zero-Shot Prompting: The Cleanest Trick in Prompt Engineering
The first post in a series on prompt engineering — this one explores zero-shot prompting: the cleanest way to get results from LLMs without examples, training, or fine-tuning.
· 6 min
Why SMART Goals Actually Work (When Done Right)
Not just another acronym. SMART goals can be your unfair advantage if you know how to wield them. Here’s how I make them stick.
· 11 min
FastAPI to ECS the Smart Way: Load Balanced & Custom Branded
From FastAPI app to scalable ECS Fargate deployment — all load balanced and wired to your custom domain.
· 10 min
Why React Virtualized Matters: Rendering Smart, Not Hard
A deep dive into React Virtualized — how it works, why it saves performance, and when to use it.
· 12 min
Context Without Complexity: LangChain’s In-Memory Superpower
Lightweight, fast, and surprisingly powerful — how LangChain’s in-memory store helped us manage chatbot context during a hackathon sprint.
· 7 min
Dependency Inversion Principle in C#: Flipping Dependencies for Cleaner Architecture
A practical guide to the Dependency Inversion Principle in C#—what it means, why it matters, and how to apply it without overengineering your code.
· 6 min
Interface Segregation Principle in C#: Build Interfaces People Actually Want to Use
A developer-friendly look at the Interface Segregation Principle in C#, showing how to design clean, focused interfaces without forcing classes to implement what they don't need.
· 7 min
Liskov Substitution Principle in C#: Subclass Without Surprises
A practical guide to the Liskov Substitution Principle in C# with real-world examples, helping you avoid sneaky inheritance bugs and unexpected side effects.
· 7 min
Open/Closed Principle in C#: Making Your Code Flexible Without Breaking Stuff
A practical guide to the Open/Closed Principle in C#, using real-world examples to show how to extend functionality without modifying existing code.
· 6 min
Single Responsibility Principle in C#: Writing Classes That Do One Thing Well
Understanding SRP in C# with relatable examples, real-world refactoring, and practical insights for cleaner, more maintainable code.
· 10 min
How LLMs Understand Images: The Secret Behind AI That Sees
A deep dive into how AI models like GPT-4V and CLIP process images, bridging the gap between vision and language with Transformers and multimodal learning.
· 12 min
LLMs & Transformers: A Beginner’s Guide for Software Engineers
A practical, easy-to-understand guide on Large Language Models (LLMs) and Transformers—how they work, why they matter, and how they impact modern software development.
· 5 min
Jotai and Zustand: Modern Alternatives to Redux
Exploring how Jotai and Zustand offer lightweight, efficient, and developer-friendly state management solutions compared to Redux.
· 9 min
Managing Backend State with React Query: Why Redux Isn’t Always the Answer
Explore how React Query simplifies backend state management in React applications, reducing boilerplate and improving your app’s maintainability—without Redux.
· 8 min
Gemma 3: DeepMind's Leap in Multimodal AI
A deeper look at DeepMind’s Gemma 3 — a powerful, multimodal AI model that handles long contexts, over 140 languages, and runs efficiently on a single GPU. What makes it different, and why should you care?
· 6 min
Taming Circular Dependencies with Kahn’s Algorithm
A quick, practical look at how Kahn’s Algorithm can prevent runaway cycles by neatly ordering tasks and modules. Learn how to spot circular dependencies, fix them, and keep everything running smoothly.