Why real-time systems aren’t luxury infrastructure—they’re how smart businesses stay ahead. Let’s get one thing out of the way:Batch is fine—for laundry. Not for decisions. Most companies still move data the same way they moved it in 2005: extract, load, wait, analyze, repeat. It’s comfortable. It’s familiar. But it’s also a few hours—or days—behind what’s […]
Kafka Isn’t Just a Queue. And Flink Isn’t Just a Buzzword. Read More »
Why the future of AI depends on more than fancy prompts and flashy demos? A Useful Tool—But Not a Mastermind Let’s start here: I use GenAI every day. It drafts outlines, rewrites emails, summarizes documents, and helps me explore code ideas at 2 a.m. when my brain stalls. I value the convenience, the speed, the
GenAI Is the Loudest Kid in Class—Not the Smartest Read More »
Expectations Have Changed—Permanently We live in a world that expects everything now. People track their parcels obsessively. They refresh flight apps every five minutes to check for gate changes. They want instant payment confirmations, real-time fraud checks, and status updates before they even think to ask. The modern customer is impatient—not because they’re difficult, but
Batch Is Fine—for Laundry. Not for Business Decisions Read More »
When people hear I’m pursuing a PhD in Artificial Intelligence, the reactions are nearly predictable: “You must be incredibly smart,” or “Wow, working on the future of humanity?” The assumptions are flattering—but often far from accurate. The truth? Research in AI isn’t some linear march toward breakthrough innovation. It’s a nuanced, uncertain, often messy process
PhD Diaries: Research Isn’t What You Think Read More »