ghostnet-ai

Diving into the LABLAB.AI Hackathon as Tech Lead for GhostNet AI was pure, high-stakes adrenaline. Our mission: build an automated shield that catches brand impersonators and spoofed domains before they do real damage. Leading a 5-person crew through that countdown meant balancing fast architectural calls with relentless debugging.

We hooked up Bright Data scrapers to monitor suspicious web endpoints in real time, funneling raw, messy data into the Gemini API for contextual threat analysis. The biggest hurdle wasn't just extracting the data—it was structuring the pipeline to filter out digital noise and spot actual malicious intent on the fly without breaking under load.

Turning an ambitious concept into a live, intelligent brand-defense platform under tight constraints was an absolute blast. It showed me that great AI products don’t just happen—they’re built on solid data plumbing, decisive execution, and a team that thrives under pressure.