Services
Seven specialties, grouped the way the work actually stacks up: what the system does, what it runs on, and what gets it delivered. Most projects here touch more than one — you don't have to know which before getting in touch.
What the system actually does
AI
Applied AI and machine learning: model selection, integration, and the surrounding engineering to get an AI feature from prototype to something a real product can depend on.
Computer Vision
Image and video understanding, from classical CV techniques through modern deep-learning approaches, built for real deployment constraints.
Audio Processing
Digital signal processing, audio pipeline engineering, and applied audio ML — from real-time processing to offline analysis.
What it runs on
Cloud
Cloud architecture and infrastructure (GCP/AWS/Azure), deployment pipelines, and the operational groundwork that keeps a system running without surprises.
Systems Engineering
Whole-system design and integration for projects where the hard part isn't any one component, it's how they all fit together correctly.
What gets it shipped
Software Engineering
Full lifecycle software development: design, implementation, testing, and the maintainable codebase that outlives the person who wrote it.
Project Management
Technical project leadership that keeps complex engineering work on schedule and scope-honest, without losing the technical nuance in translation.