AI biodiversity monitoring
Designed and deployed solar-powered edge systems for biodiversity monitoring in the Colombian rainforest, combining embedded computing, sensing, communications, and remote power.
Read the feature ↗Bruno Demuro
Big Tech Experience × Founder & Operator × Technical Product Leader
I turn ambitious AI and hardware ideas into systems that work in the real world.
Technical product leadership, AI/edge systems, and field-deployed hardware for teams solving problems where software alone isn't enough.
The Thesis
The hardest products live between disciplines.
Some products don't fail because the technology doesn't exist. They fail in the gaps between hardware, software, AI, product, and deployment.
That's where I work. I move across those boundaries, from architecture and prototyping to technical program leadership and field deployment, so ambitious systems don't stay trapped in a lab or a prototype.
Today, I lead technical programs and build embedded AI and IoT systems at Microsoft. Before that, I founded and operated companies from the ground up, including COO-level operational leadership.
Your product needs hardware, AI, and software to work as one system.
A prototype exists, but nobody owns the path to field deployment.
You need senior technical judgment before committing significant engineering resources.
A multidisciplinary program needs one person who can translate across executives, researchers, and engineers.
You're evaluating a technical product or architecture and need an independent assessment.
Selected Work
Built outside the lab.
A small selection of systems where AI, hardware, power, connectivity, and deployment had to work together in the real world.
Marine acoustic monitoring
Built remote, solar-powered acoustic monitoring hardware for the Salish Sea, where power, weather, connectivity, and environmental exposure become engineering constraints.
Read the feature ↗Edge AI for resilience
Applied edge computing and environmental monitoring to wildfire and endangered-species use cases in California, taking intelligent systems into physically demanding deployment environments.
Read the coverage ↗
How I Help
Senior technical judgment where AI, hardware, and deployment intersect.
Bring me in when the problem is ambiguous, multidisciplinary, or expensive to get wrong.
Most engagements start with a focused diagnostic, an architecture review, a feasibility check, or scoping the real problem, before any larger commitment. Fixed-scope or ongoing, once the shape of the work is clear.
01 / DIRECT ENGAGEMENT
Work with me directly
For teams that need one person who owns the problem end to end, not a committee, someone who's shipped hardware, managed AI programs, and built companies under real constraints.
- Embedded systems and AI/IoT edge architecture
- Product design and prototyping, concept through build
- Field deployment for weather, water, and environmentally exposed devices
Best fit: short, high-trust engagements where breadth matters more than headcount.
02 / TECHNICAL ADVISORY
Independent technical judgment
For founders, executives, and investors who need an experienced technical perspective before committing significant capital or resources.
- Architecture and technology bets, before you commit
- Build vs. buy and vendor decisions
- Pre-investment and pre-acquisition technical review
Best fit: high-stakes decisions where an independent senior perspective can prevent expensive mistakes.
03 / EXTENDED TEAM
Bring in extra depth
For projects that outgrow one generalist. I work alongside a network of colleagues, researchers and software developers, scoped and led by someone who's done this kind of build himself.
- Complex, multi-disciplinary problems
- Software development support when needed
- Single point of technical accountability
Best fit: projects with enough complexity or scope that one person genuinely isn't enough.
Proof of Execution
Not just advice. Systems in the field.
The work above is backed by independent, third-party coverage, including reporting on the same deployments published through Microsoft's own channels.
| Ref | Evidence | What it proves |
|---|---|---|
| R1 | Global Biodiversity Monitoring ↗ | Press coverage confirming deployment scale across 11 countries on five continents |
| R2 | Field Deployment Video ↗ | On-site footage of edge devices in active deployment |
Start a conversation
Have a hard technical problem?
Tell me what you're trying to build, where it's getting stuck, and what success looks like. If there's a fit, we'll define the smallest useful engagement to move it forward.
I don't compete on hours or headcount. I compete on technical judgment and execution.
Typical first step: a 30-45 min working conversation. No decks required. We'll use it to figure out whether a focused diagnostic or a larger engagement is the right next step.