public class Prageeth extends SoftwareEngineer {
private final String focus = "Backend Architecture Β· IoT Engineering Β· AI-Driven Systems";
private final String currently = "Associate Software Engineer @ SimpliFy Labs";
private final String degree = "BEng (Hons) Software Engineering β London Metropolitan University (2027)";
private final String location = "Sri Lanka π±π°";
@Override
public String getPhilosophy() {
return "I gravitate toward technical depth β JVM internals, distributed event pipelines, " +
"real-time MQTT ecosystems, and embedded firmware β over surface-level CRUD.";
}
}π‘ I specialize in systems that work at the edges β backend infrastructure that handles real hardware, real-time data, and real architectural constraints. I prefer engineering complexity that matters.
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End-to-end micro-mobility platform built for real hardware and real users. Engineered sub-second MQTT bi-directional communication between server and scooter firmware, dynamic pricing algorithms with automatic model switching, geofence violation detection, and automated Stripe payment processing. Impact: First full AWS deployment; resolved critical BLE & networking bottlenecks across live fleet. |
Enterprise-grade NLP-powered chatbot engineered for Sri Lankan tourism. Features an embedded Maximum Entropy classifier engine with a Stack: 3-tier monorepo architecture deployed on Azure VM. |
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Specialized B2B reverse-bidding system for the dry bulk shipping industry. Digitizes cargo chartering with real-time auction and negotiation flows. Spearheaded full system recovery β reverse-engineered and redeployed a dormant legacy codebase to Firebase, authored the deployment guide, and executed a clean external team handover. |
Cross-platform medical exam preparation app live on the Google Play Store for Australian Medical Council candidates. Managed the complete Play Store release lifecycle including mandatory 14-day closed testing and a critical Android Target API upgrade. |
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Holistic wellness ecosystem designed around AI Pose Estimation for real-time exercise form correction and personalized workout plans. Led full system architecture β ERD, SRS, and technical feasibility studies for TensorFlow model integration. |
Explore my repositories for smaller experiments across embedded firmware (MicroPython / C), backend microservice prototypes, and DevOps configuration work. |



