Operational validation
Samaria
A multi-tenant Safety Management System for reporting, contextual analysis, risk workflows, investigations, corrective actions, and audit-ready traceability.
View case study
Los Angeles, CAAvailable for impact
I turn aviationoperations intoworking software.
Aviation Software Product Engineer, Systems Engineer, and FAA Private Pilot with nearly 30 years of continuous experience across aviation operations, safety, quality, and technology.
ATCMETSMSFAA PPLPRODUCT
33.7701° N / 118.1937° W
24Years in the Colombian Air Force
03Aviation products designed and built
360°Operational, pilot, safety, and engineering perspective
Operational advantage
Aviation software should be built by people who understand aviation.
My value comes from combining two disciplines rarely found in the same profile: firsthand aviation experience and the ability to translate complex operations into working digital products.
I understand the environment behind the interface—the people, decisions, risks, records, and accountability that determine whether software helps or gets in the way.
Read my story01
Air Traffic Control
02
Aviation Meteorology
03
Flight Operations
04
Aircraft Maintenance
05
Safety Management Systems
06
Pilot Training
07
Navigation Procedures
08
Aerospace Quality
Selected work
Three aviation challenges. One repeatable product process.
Each product began with an operational problem I had seen firsthand, then moved through workflow modeling, architecture, implementation, and validation.
Approaching production readiness
Askronos
A multi-tenant platform connecting pilot records, flight time, training progress, instructors, aircraft activity, scheduling, and school administration.
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Active product
Zefyrio
An installable aviation and drone platform combining weather, airspace, NOTAMs, radar, wind profiles, and aircraft limitations in one operational interface.
View case studyHow I work
From operational problem to working product.
I do not begin with a framework or a feature list. I begin by understanding the operation.
Understand the operation
I begin with users, decisions, information, constraints, and the real environment—not with a technology choice.
Identify the real problem
I separate visible symptoms from root causes and define the operational outcome the product must create.
Model the workflow
Roles, events, states, records, exceptions, dependencies, and business rules become a coherent system model.
Design the product
I prioritize the smallest complete solution, then define architecture, data relationships, permissions, and interfaces.
Build and validate
Working versions are tested through complete operational scenarios, corrected, and improved through iteration.
Deploy and learn
Real use, performance, and feedback guide the next development cycle without compromising the operational core.
AI with purpose
AI is part of the product—not the entire product.
Domain knowledge defines the product. AI accelerates and extends its capabilities.
I integrate AI into contextual analysis, information retrieval, classification, pattern support, and workflow assistance. I also use AI-assisted engineering tools to accelerate coding, testing, debugging, and documentation.
Product strategy, architecture, business rules, operational validation, and final safety decisions remain human-led.
What I bring
A shorter path from aviation problem to product value.
Domain fluency
I can work with aviation users, terminology, risk, and constraints without years of industry onboarding.
Product judgment
I turn ambiguous operational problems into priorities, workflows, business rules, and product decisions.
Technical execution
I contribute across architecture, frontend, backend, data, AI, testing, documentation, and deployment.
Cross-functional trust
I communicate with pilots, engineers, developers, auditors, safety teams, and operational leaders.
Next conversation
Let's build better aviation systems.
I'm interested in opportunities where aviation knowledge, product engineering, and software execution come together.
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