🌉 Visiting San Francisco

[Your Name]

AI Innovator & Mechanical Engineer
Building the Future of Design and Automation

Data Center CFD Simulation

Interactive thermal management visualization - Watch cooling systems maintain critical temperatures

NORMAL
Max Temp: 22.0°C
Time: 0.0s
Cost: $0.00
Server Racks
CRAC Units
Airflow (Blue=Cool, Red=Hot)

Simulation Control

Emergency Scenarios

Controls

CRAC Unit Status

What You're Seeing

Real-time visualization of data center airflow and thermal management. Each particle represents air movement, colored by temperature from cool (blue) to hot (red).

Why This Matters

Data centers must maintain precise temperatures to prevent server failures. A single degree difference can mean millions in downtime costs.

The Engineering Challenge

Designing redundant cooling systems that can handle equipment failures while maintaining efficiency - exactly what I did for Fortune 500 clients.

Professional Experience

Mission-Critical Infrastructure Engineer

Data Center Design2017 – 2021

Imagine designing the heart of the internet – the buildings that keep Netflix streaming, bank transactions flowing, and cloud services running 24/7/365. That's what I did for four years.

🏢The Challenge

When a Fortune 500 company says "our systems can never go down," they mean it. I designed the mechanical backbone for facilities where even 4 minutes of downtime per year is too much.

🔧The Solution

Think of it like designing a backup for your backup's backup. Every cooling system, power line, and fire suppression system had multiple layers of redundancy – because when Google's servers need cooling, there's no room for failure.

The Impact

Led teams building facilities the size of aircraft hangars – but instead of planes, they housed the servers powering everything from your morning weather check to international banking systems.

What this really means:

Never-fail cooling systems
Earthquake-resistant design
Energy efficiency optimization
Multi-million dollar projects

Featured Projects

Agent Armada – AI Drone Swarm Control

🏆 2nd Place WinnerLabLabAI Hackathon, October 2024

Secured 2nd place in LabLabAI's "Reasoning with o1" Hackathon. Built an AI-driven system for single-operator control of autonomous drone swarms using natural language, integrating LLMs with 3D geospatial environments.

AI-Powered Drone Swarm Interface

Real-time 3D Geospatial Control System

AI/MLNatural Language ProcessingDrone Control3D VisualizationReactPython

Intellectual Property

U.S. Patent 11,263,532

AI-Driven 3D Modeling Application for Architects, Engineers, and Designers

Let's Connect in SF!

Excited to be in San Francisco! Let's connect to discuss AI, infrastructure, innovation, or collaboration opportunities over coffee.