I spent over a year as the product designer for Hypernative. They just raised $40M in Series B funding not long ago.

Hypernative is a real time security platform for Web3, protecting billions in assets across 60+ blockchains. The product is genuinely best in class. But when I started, the UX wasn't matching the tech.

The UI was super complex, data heavy, and required a steep learning curve. For a security platform where seconds matter, that's a big problem. If your users can't parse a critical alert instantly, the best detection engine in the world doesn't help.

So We rebuilt the experience around three pillars: clarity, actionability, and scalability.

Clarity meant redesigning the threat severity system so users could gauge urgency at a glance. Actionability meant replacing static alerts with interactive ones that included recommendations, historical context, and mitigation steps right in the UI. Scalability meant building a modular dashboard so different teams could customize the interface for their workflow.

The results were 40% improvement in threat detection response time. 30% increase in user retention. 25% reduction in false positive friction.

In complex B2B products, design is the difference between a tool people tolerate and a platform they rely on. Especially in security so if the UX creates cognitive load at the moment someone needs to act fast, you've already lost.

Perfect design

Senior Software Engineer & AI Automation

I designed and developed this AI-powered lead automation system as a Senior Software Engineer specializing in AI automation and workflow engineering. The system automatically monitors a lead database and triggers a processing pipeline whenever a new lead appears. It intelligently filters and qualifies leads based on predefined conditions, then uses AI to generate contextual messages and summaries. This automation eliminates manual lead handling, improves response speed, and ensures that only high-quality leads move through the workflow.

After the AI generates the message, the system formats and parses the content before automatically sending notifications to internal teams through communication channels such as Slack and email. The workflow then updates the database with the processed results, keeping all records synchronized. This project demonstrates my ability to build scalable automation systems that integrate databases, AI services, and communication platforms to create efficient, real-time business workflows.