About
Amitai is a senior AI research engineer focused on medical imaging, computer vision, spatial AI, and practical AI R&D execution. He combines technical leadership with hands-on engineering to move research concepts into product-ready systems.
Selected experience
Selected experience includes Meta Reality Labs, QuantumCyte, and AGAT Software. This background supports work across imaging systems, sensor-aware perception, and AI research programs.
Technical strengths
- Medical imaging and vision pipeline development
- Spatial AI, 3D reconstruction, and sensor fusion
- AI research engineering for prototype validation
- LLM systems and technical due diligence support
- Mathematical foundation from Hebrew University
How I work
I start with the technical challenge and data constraints, then build a focused prototype with measurable validation criteria. Engagements are kept lean, with a clear path from research findings to engineering readiness.
Engagement approach
Available for selected contract, advisory, and research-engineering engagements. Typical work:
- Sprint model: 1–3 week focused engineering cycles for feasibility testing, algorithm validation, or technical assessment
- Advisory retainer: Monthly reserved capacity for due diligence, architecture review, or ongoing technical guidance
- Research-to-product: Partnership-style engagement to move prototypes toward production readiness
First step is always a technical scope review and data assessment to clarify constraints, timeline, and deliverables.
Contact
For project inquiries or a request for a CV and portfolio, please reach out via the contact page.
Typical first step: email with project description, technical challenge, current stack, and timeline. Response within 1–2 business days.
See examples in the Case Studies section, and review technical notes at Technical Notes.