My current projects involve Machine Learning models for detection of medical fraud and abuse. I have build classifiers with R and Python using Oracle Advanced Analytics engine and currently doing deep dive into Graph theory for analysis. My other area of expertise is microservices distributed frameworks with Service Broker, HTTP/RESTful development and Amazon AWS S3 medical applications. I have also developed medical streaming application for Google Glass and enjoy working with wearable devices in general. My past work include design of software for the automated medical diagnostics platforms for which I utilized real-time Linux platform. I have also developed ESB (enterprise service bus) HL7 services utilizing Apache Camel open source framework I designed and developed Microsoft WCF application software on .Net 6.0, 4.5, 4.0 and 3.5 platform. I developed software modules in C, C++ and Python for the automated chemistry analyzer. I developed web based dashboard tools with C# on .Net 5.0 for another product that is used in the laboratory automation. I have designed and develop custom embedded solutions to enable connectivity between medical devices and mobile platforms such as Android, iPhone, iPad. Currently exploring NFC technologies for web enable devices. I have also provided contract development expertise for web-based projects. I like using Python, PHP, JQuery, MySQL, Twitter bootstrap JS, Backbone.js, Node.js and custom MVC technologies.
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