Sebastian Mondragon

Sebastian Mondragon

Founder & CEO, Particula Tech | Strategic AI Engineering Partner

Sebastian Mondragon built Particula Tech on a single conviction: most AI projects fail because teams treat AI like magic instead of engineering. He brings that engineering-first discipline directly to the EquipmentFX technology stack.

About Sebastian

Since founding Particula Tech in 2023, Sebastian has overseen the delivery of over 600 AI solutions across 450+ clients worldwide — from enterprise data platforms unifying millions of daily records to healthcare AI infrastructure that cut operational costs by 95%.

His approach strips out the hype and installs what works: custom models trained on client data, architectures designed for real-world scale, and systems that ship to production and stay there. Sebastian brings Particula's engineering-first discipline directly to the EquipmentFX technology stack.

Areas of Expertise

AI Engineering

Custom AI systems built for production — not prototypes. Sebastian’s team designs, trains, and deploys models on client data with architectures built for real-world scale.

Production AI Systems

600+ AI solutions shipped to production across 450+ clients. From enterprise data platforms unifying millions of daily records to healthcare AI infrastructure that cut operational costs by 95%.

Custom Model Development

Models trained on your data, optimized for your use case. No generic off-the-shelf solutions — every deployment is purpose-built to solve a specific business problem.

Enterprise Data Architecture

Unifying fragmented data systems into coherent architectures that AI can actually use. The foundation layer that most AI projects skip — and the reason most fail.

Multi-Agent Orchestration

Designing and deploying systems where multiple AI agents coordinate autonomously — the architecture behind modern AI operating systems like Agent X™.

LLM Infrastructure & Cost Optimization

Building LLM-powered systems that perform at scale without runaway costs. Infrastructure selection, prompt engineering, fine-tuning, and deployment optimization.