Michele Sanna
CTO & CPTO · Data Scientist · PhD Applied Mathematics
PhD LSE · 8+ years across London fintech & enterprise AI · Building Terra Noa from zero
Sardinia, Italy · Remote-first · English & Italian
Engineering integrated software solutions and smart systems. Building data & AI capability from zero for companies in growth, from architecture to strategy, end-to-end.
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About
CTO and Data Scientist with a PhD in Applied Mathematics from LSE, focused on stochastic differential geometry for optimization in deep learning. I've worked across the full spectrum, from Revolut's engineering team to JPMorgan's consulting practice, from Deloitte's ML engineering to Brevan Howard's quantitative analysis, and from Accenture's business architecture to founding my own tech company.
Today I lead tech strategy and product development at SerSan (AI Studio) and serve as CTO and Board President at Cooperativa Agricola Terra Noa in Sardinia, where I'm building integrated software solutions for smart agriculture.
I'm looking for a context where data and AI aren't an IT project, they're the strategic engine of the business. A growing company where I can design the architecture, choose the stack, and build the capability from scratch, working directly with the leadership team.
Experience
Selected Work
A few representative projects across smart systems, AI and finance.
End-to-end IoT sensor network for soil, microclimate and crop monitoring across cooperative farms in Sardinia. Real-time pipelines from MQTT edge devices to cloud analytics, with SCADA integration for irrigation and operational control. Built from zero: hardware selection, network topology, data model, dashboards.
Co-led the technical platform for an electric yacht fleet across the Mediterranean. Real-time telemetry, predictive maintenance on motor and battery health, charging scheduling and route optimisation against energy consumption forecasts. Sold to strategic acquirer in Oct 2024.
Designed and deployed an IoT monitoring platform for a utility-scale photovoltaic plant coupled with a Battery Energy Storage System. Real-time acquisition from inverters, meters and BESS controllers via Modbus/MQTT, anomaly detection on string-level performance, and ML-based predictive energy production forecasting using weather data and irradiance models. Optimised charge/discharge dispatch against day-ahead market signals.
Business architecture and integration design for regional healthcare platforms. Reduced multi-step public-sector workflows from weeks to days while aligning with regulatory and interoperability requirements. Coordinated business, IT and vendor teams end-to-end.
Led ML models for autonomous orbit management of low Earth orbit constellations. Designed data pipelines, feature engineering and production deployment with Docker and Kubernetes. Translated complex analytics into actionable insights for non-technical stakeholders.
Skills
Languages & Frameworks
Infrastructure & Data
Strategic & Domain
Education
Certifications
What I'm Looking For
A company in a growth phase where I can build the data and AI capability from zero, not as a siloed technician, but as a strategic partner to the leadership team.
A context where the freedom to design the architecture, choose the technologies and define the roadmap is real. Where data drives business decisions, not just dashboards.
SCADA integration, production forecasting, IoT monitoring, predictive maintenance, NIS2 compliance, BESS optimization, smart agriculture, these are the kinds of challenges that excite me.