Thinking Out Loud
Articles on AI, Data Engineering & Career Growth
Real-world insights on AI, data engineering, and career growth—from someone who builds and ships production systems at enterprise scale.
Prompt Engineering is a Real Skill - Here's What Actually Makes a Good Prompt
A practical, no-hype breakdown of what separates a useful prompt from a useless one, with real examples from production systems
Building Your First Agentic System - What Nobody Tells You Before You Start
The real challenges of building multi-step AI agents, from tool use to error handling to latency - and why most first attempts break exactly where the demos look flawless.
RAG vs Fine-Tuning - How to Actually Decide
A decision framework for when to use retrieval vs. when to actually train, from someone who has built both in production at enterprise scale.
How I'd Break Into Data Engineering in 2025 If I Were Starting Over
A realistic roadmap for breaking into data engineering in 2025 - from someone who has hired, mentored hundreds of engineers, and built data systems at enterprise scale.
The Honest Difference Between a Junior and Senior Data Engineer
The difference between a junior and senior data engineer has almost nothing to do with years of experience and everything to do with how they think, communicate, and take ownership.
What Microsoft Taught Me About Enterprise Tech That Startups Always Get Wrong
After years moving between enterprise and startup environments, here is what I've learned that each consistently gets wrong about the other - and what the smartest teams steal from both.
Building While Immigrant - The Real Weight Nobody Talks About
A personal essay on navigating career ambition, visa pressure, cultural identity, and the particular weight of building products while living as an outsider in the country where you're trying to build.
Why I Started Advising Startups While Working a Full-Time Job
On holding multiple identities, building a portfolio career in tech, and why the traditional single-employer career path stopped making sense to me.
The Cloud Bill Nobody Talks About - How AI Workloads Quietly Drain Your Budget
AI workloads have a fundamentally different cost profile than traditional software. Here is what you need to understand before your inference bill becomes the conversation in the board meeting.
Why Every Engineer Should Understand Containers (Even If You Never Write a Dockerfile)
Containers changed how software is built and deployed. Here is why understanding them - even at a conceptual level - makes you a better engineer regardless of your role.
AI for Startups
How early-stage founders can actually leverage AI to build faster, leaner, and smarter - without needing a research team or a $10M budget.
The Intersection of Data Engineering and AI
Why data engineering is the unsung backbone of every successful AI initiative and what it means for the next generation of builders.
From India to Microsoft: What Nobody Tells You About Building a Career in the US
The parts of the immigrant tech journey that nobody puts on LinkedIn - the visa stress, the identity questions, the moments of doubt - and what actually got me through them.
Building Toya: What I Learned Shipping My First Fintech Product
What I learned building Toya - a personal finance app born from $140,000 in personal debt - including the things I would do differently and the moments that almost made me quit.
Real-Time Data Streaming: Why Batch Is No Longer Enough
A deep dive into why modern data systems need streaming, when batch still works, and what it actually takes to build pipelines that move at the speed of your business.
Agentic AI: What It Actually Means and Why Most Implementations Miss the Point
The term "agentic AI" is everywhere right now. Here is what it actually means, where current implementations fall short, and what it takes to build agents that work reliably in production.
Building in Public as an Immigrant Founder: Why Visibility Is a Strategy, Not Just a Habit
How building in public as an immigrant founder opened doors I did not know existed, and why vulnerability on LinkedIn is actually a strategic advantage, not just an act of courage.
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I write regularly about AI, data engineering, and the reality of building as an immigrant founder. Over 8,000 people follow along.