We design, build, and operate software
AI Prodigy LLC is a software engineering company founded by Carlos and Jose David Germosen. We build web applications, workflow automation, cloud infrastructure, and custom AI systems for organizations with specific operational needs.
Selected work
Kress Memorial Church
A hand-edited static page rebuilt as a self-publishing application. The completed build was 91% lighter and recorded a 100 Lighthouse score at verification.
Read the case study Case studyWillow Estates
A ten-bed family-run assisted living home, built to reach families searching for care and to convert that search into a booked tour.
Read the case study Our own productVeravox
Real-time English-to-Spanish voice translation, running in production. We designed the pipeline, built it, and operate it as a live product.
See how it worksOur mission
To build and operate software that organizations can depend on and fully own: engineered to a defined standard, documented, and handed over with complete access. We use automation and AI where they measurably improve an outcome, and say so plainly when they would not.
Our vision
Serious engineering should not be reserved for organizations large enough to staff their own technology department. We are building AI Prodigy so that the standard of architecture, security, and performance large technology teams build for themselves is available to any organization that needs it.
Founders
Carlos and Jose David Germosen founded AI Prodigy, the company behind the client work shown here and the Veravox translation product. Our projects bring engineering into the conversation from the first scope review.
Credentials and experience
Our certifications support hands-on work across AWS, machine learning, and business systems. We also use the same core infrastructure practices in our own products.
AWS Certified AI Practitioner
Amazon Web Services
AWS Solutions Architect – Associate
Amazon Web Services
AWS Developer – Associate
Amazon Web Services
Machine Learning Specialization
Stanford / DeepLearning.AI
TensorFlow Developer
DeepLearning.AI
IT Support Professional
Google
AI for Project Managers
Professional certificateExplore our tools and platforms
The stack we work in
Amazon Web Services
- Compute & containers (EC2, ECS, Lambda)
- Storage (S3, EBS)
- Networking (VPC, CloudFront)
- Identity & security (IAM, Cognito)
- Infrastructure as code (Terraform)
Power Platform
- Power Apps development
- Power BI analytics
- Power Automate workflows
- Data integration
Google Cloud & APIs
- YouTube & Calendar APIs
- reCAPTCHA Enterprise
- Google Analytics
- Search Console & Business Profile
Working principles
Clear ownership and access
Project agreements define ownership, account access, documentation, and handoff responsibilities before work begins.
Straight answers
If the simple version solves your problem, we will not sell you the complicated one. If we think an idea will not work, we will say so before you pay for it.
Defined engineering standards
Performance, accessibility, search readiness, and security requirements are included in the scope and verified against the needs of the project.
Discuss a project
Tell us what you need to improve. We will review the request and recommend a clear next step.