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About Me
Accomplished software professional with more than 7 years of experience in full life cycle of software development (Java, React, Angular, Node JS, etc) including requirements analysis, proof of concept, design, development, testing, and maintenan... etc) including requirements analysis, proof of concept, design, development, testing, and maintenance in the Software industry.
Extensive experience in backend and frontend application design and architecture.
• Sound knowledge of Queuing (RabbitMQ, Java) and Scalability.
• Developed healthcare message (HL7, EDI, NCPDP) processing engine on java which has the ability to process 5TB data per day.
• Developed chat server using node.js, XMPP and Mongo DB.
• Created REST API layer which supports API versioning for mobile and web client.
• Development experience in Groovy and Grails Framework.
• Created a fall detection algorithm using sensors of mobile and implemented it on the android app.
• In-depth knowledge of Javascript.
• Have sound knowledge of spring security and OOPS design pattern.
• Created UI framework on Angular.js and React from scratch.
• In-depth knowledge in Data structure and algorithm
Specialties: Java, Javascript, Groovy, Grails, Node.js, Angular.js, ReactJS, MongoDB, Mysql, NoSQL, Apache Kafka, Apache Storm, Neo4J, Mirth, Ejabberd (XMPP chat server)
Domain:
Event Management and Hospitality
US Healthcare, FHIR, HL7, DICOM, EDI, NCPDP
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Portfolio Projects
Description
The scope of the project is to provide the ability to score attendee activity at the event and make those scores available to our APIs, reporting tools, integrations, and others, as needed. The planner should be able to configure which activities are counted and what score will be associated with each activity
Design the LSS system to flow the data from conference to the marketing system Design micro-services and queuing system
Developed 7-8 micro-services to scale the processing
Leading an entire team of 5 developer
Description
The scope of the project is to provide real-time reports and analytics for a live event. Created real-time high-performance data sources for reports
Implemented data replication to BIRST analytics tool using Oracle CDC and queuing(rabbitMq)
Implemented UI and charts using React JS
Show More Show LessDescription
The scope of the project is to process 100 TB of healthcare data which include ADT, AMMD, EDI 837, EDI 832 and NCPDP healthcare messages within the time period of 20 Days.
Used Smooks library to parse EDI messages
Created backend Java app which supports running 1000 parallel threads to process data
Implemented 5 Clusters which include (60 App Server and 10 DB server)
Created data processing Jobs framework and optimize the framework to get the processing rate of 10 million per minute (5 TB per Day)
Created multiple scripts (using Perl, Python, and bash) to automate all the server processing
Show More Show LessVerifications
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Profile Verified
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Phone Verified
Preferred Language
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English - Fluent
Available Timezones
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