Main developer and architect for the new front-end architecture realized in Vue.js, Vuex, TypeScript, Google Maps, and integrating it with the legacy front-end that is built on older Knockout code. Created a new foundation for both all the components in Vue, developed many custom components, improved performance and time to delivery for new functionality by establishing best practices, standards, unit tests requirements Strong experience with GIS, Google Maps, Leaflet, .NET Core WebApi, Node.js, Gulp,TypeScript, Vue.js, Vuex, vue-cli, SCSS, Docker, SQL, processing and importing/exporting large volumes of data, integrations, custom reports.
Responsible for maintenance/enhancements to the Mad-X platform which is a C# ASP.NET MVC platform used to feed mobile websites and mobile applications for several e-commerce sites. Worked with the senior team providing new architecture guidance and strategy for improving the performance of the live data-mapping technology. Experience with e-commerce frameworks and integrations. Technologies used daily: ASP.NET MVC, C#, MEF, LINQ to XML, LINQ to SQL, LINQ to Entities, SQL Server and SSIS, IIS, JSON, jQuery, Knockout.js, Node.js, Node Express, Node.io, XAML (worked on the Windows 8 tablet app for Office Depot).
Provided architecture guidance and hands-on development for the new OncInsight bioinformatics platform and the ETL and aggregation of data in the datawarehouse. Managed a small team of .NET consultants and internal developers. OncInsight is a multi-tier application realized with ASP.NET (C#), Ajax, JSON, jQuery, jTemplates, DataTables.Net, SQL Server, SSIS, ETL, Data warehouse, Web Services/WCF, SOLR (Apache Lucene), Amazon Web Services. OncInsights software analyzes cancerous tissue to then generate a complete genomic picture of over 20,000 genes and corresponding molecular pathways that uniquely define a person’s cancer. It then identifies over-expressed genes and output a list of drugs that can target them by applying several proprietary algorithms. Additionally, it gathers supporting clinical evidence from several public sources like PubMed and ClinicalTrials.gov that further validate the efficacy of the drugs chosen and their targets. This information is then delivered to the frontline oncology partners who can quickly review hundreds of drugs that specifically target the molecular basis of a person’s unique cancer. Technologies used: C# .NET 4.0, ASP.NET, jQuery, jTemplates, DataTables.net, SQL Server, SSIS, ETL, SQL Server Reporting Services, Data warehouse, SQL Profiler, LINQ, Entity Framework 4, SOLR, Amazon Web Services, Subversion, BugTracker.NET, Assembla, Visio, IIS 7, iOS (iPhone/iPad).