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South Africa
6+ years of experience
Product strategist and founder focused on bridging the gap between raw concept and scalable B2B software. With a background navigating startup accelerator ecosystems, I specialize in identifying high-margin channel partner strategies like shifting Solwash from a single-user tool into a fleet intelligence platform for commercial solar installers. After mapping out the initial product architecture through rapid visual prototyping, I am leading the product direction this weekend, partnering with a solid computer science core to build out a functional, AMD-accelerated MVP from scratch.

Solwash DT is a high-performance solar fleet intelligence and automated dispatch platform purpose-built for enterprise solar Operations & Maintenance (O&M) providers. Legacy O&M operations face a critical multi-billion-rand challenge: solar panels lose up to 41% of their power generation capacity due to surface dust and dirt soiling, yet operators typically only discover these degradation trends at the end of a billing month. To solve this intelligence gap, Solwash DT combines real-time hardware-emulated telemetry streams with localized weather monitoring to accurately quantify exact financial losses by the second. The platform features an intelligent "Cloud vs. Dirt Engine" which automatically cross-references live cloud cover percentages and local irradiance levels. If cloud suppression thresholds are met, the platform elegantly halts false alarms on overcast days, preventing wasted truck rolls. When a genuine, high-confidence soiling anomaly is flagged, Solwash DT closes the operational loop instantly. With a single click, the platform's backend compiles an analytical text payload containing precise coordinates, string IDs, inverter models, and financial risk profiles, then routes it directly into native WhatsApp messaging templates used by maintenance crews. Built to thrive under high-throughput data loads, Solwash DT leverages an advanced AMD ROCm pipeline to accelerate its real-time tracking, peer-benchmarking algorithms, and localized tariff calculations. The system utilizes Google Firebase Cloud Firestore for real-time live data streaming, offering absolute operational visibility through analytical dashboards, historical logs, and internal scheduling engines.
13 Jul 2026