Built by engineers, for businesses like yours.
AI Prodigy is a software engineering firm founded by Carlos and Jose David Germosen. We bring the technology large companies rely on to small and mid-sized businesses, and we build it to last.
Selected work
BerryWell Institute
A clinical training platform for anesthesia professionals, built end to end: learner app, dashboard, cloud system, and website. Live since October 2026.
Read the case study Case studyKress Memorial Church
A website that used to be edited by hand every week now publishes sermons, bulletins, and events on its own.
Read the case study Case studyWillow Estates
A website as warm as the home itself, with real photographs and a clear route to request a visit.
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.
Let’s talk about your business.
Tell us what you’re working on. The people who answer are the people who build, and the first conversation is free.
Any paid work needs your written approval.
Prefer email? contact@ai-prodigy.com