Reports — Joaquin Soto

Reports

This section documents real systems, built under real constraints, with real consequences. These are not theoretical papers or experimental demos. They are records of impact.

Telecommunications · VoIP

Real-Time VoIP Enterprise Integration

At an early stage of VoIP adoption—when the industry was dominated by proprietary solutions (Cisco, Nextel)—I integrated open-source Asterisk-based VoIP infrastructure with enterprise systems built in C# on the Microsoft stack, something considered technical sacrilege at the time.

The system enabled full call traceability, real-time monitoring, and automated billing based on call duration and events—turning raw VoIP infrastructure into an operational commercial platform.

Healthcare · Clinical Systems

OCR & Automation in Hospice Care

In hospice care environments, I designed OCR systems for handwritten paper forms submitted by mail, reducing critical workflows from days or weeks to minutes—limited only by scanner throughput.

LMS Platforms with Real Compliance

I built an internal LMS for mandatory clinical staff certifications, incorporating anomaly detection, attention verification, and adaptive assessment reinforcement—prioritizing real knowledge transfer over superficial compliance.

Clinical Triage & Decision Support

I helped expose a decision-tree-based clinical triage system developed by medical researchers to the web, integrating UI, educational video content, and complex decision flows—achieving national recognition and scaled adoption.

Commercial Real Estate · Data

Durable Data Platforms

As the technical architect of redIQ, I designed commercial real estate data aggregation, normalization, and analysis systems that remained market-dominant years after acquisition by Berkadia.

The architecture prioritized longevity, traceability, and resistance to organizational change—allowing the system to survive corporate cycles and internal reorganizations.

Notes on AI

Many modern AI-driven systems collapse under real scrutiny. My work focuses on designing systems where AI is a controlled, observable, replaceable component—not a single point of failure.