megamind-android · July 5, 2017 10:15
diff --git a/code4goalparser.json b/code4goalparser.json
 {
  "name": "Amitabh Sural",
  "email": "[email protected]",
  "phone": "(716) 430-0613",
  "skills": "and Qualifications\nRich experience in Java and Big Data technologies with exposure to Service Oriented Architecture\nStrong exposure to Agile/Scrum methodologies and SDLC lifecycle\nCore Languages: Java, SQL Familiarity: Python\nSoftware/Tools: Git, Perforce, Eclipse Operating Systems: Windows, Linux\nDatabases: Hive, MySQL Other: REST Services\nCloud/Distributed: Hadoop, HDFS, MapReduce, Spark SQL, Redis",
  "education": "University at Buffalo, The State University of New York\nMaster of Science in Computer Science and Engineering, February 2013\nIndian Institute of Technology, BHU, India (formerly Institute of Technology, BHU)\nBachelor of Technology in Electrical Engineering May 2007",
  "experience": "Radiumone Inc. Sunnyvale, CA\nSenior Software Developer March 2015 - Present\nWorking as part of Dataware House team that ingests more than 40TB of data in a day\nSingle handedly reduced the data footprint of the DWH by around 30%, by re-architecture and re-implementation of part of\ningestion pipeline and moving to Parquet Storage Format\nSuccessfully designed and implemented Cross Device Store functionality to existing audience expansion techniques, which\nhelped us in enhancing our target audience by 8-10%\nBuilt REST services around some of the secondary ETL jobs as a part of the endeavor to move DWH to SOA architecture\nDeveloped pipelines for data ingestion from RadiumOne partners and deployed them to production\nCurrently working on a Spark SQL and Druid Based solution for accelerating BI queries\nIntuit Inc. Mountain View, CA\nSoftware Developer February 2013 - March 2015\nWorked as part of the Risk Assessment team in the Payment Solutions Division\nWas part of the team that led the migration of legacy risk mitigation solutions in RDBMS to Hadoop Distributed\nStorage and processing\nImplemented MapReduce jobs for calculating historical merchant transactions/profile aggregates used in fraud\nanalytics and detection algorithms\nWas part of the team that enriched QuickBooks, an Intuit flagship product, by allowing the users to integrate their\nSquare & PayPal transactions with QuickBooks\nIntuit Inc. Woodland Hills, CA\nSoftware Development Intern March 2015 - Present\nWorked as part of the Money-Movement team in the Payment Solutions Division\nWas part of the team involved in enhancements and bug-fixing in the core money movement module of the product\nCitrix India R&D.Ltd. Bangalore, India\nSoftware Developer August 2008 July 2011\nWorked as a part of the sustenance team in the NetScaler Product Group\nMainly was involved in enhancements and bug-fixing in core TCP and HTTP modules of the product Enhanced an existing\nfeature to facilitate larger number of client connections that hog the server resources\nWorked on Escalations and Customer Issues with the Product Support and Escalation Engineers\nActively worked with the Product Management team for future enhancements\nGloballogic Inc. Noida, India\nSoftware Engineer July 2007 August 2008\nDeveloped and maintained a web application for an offshore client that helped them manage the workflow across different\ndistribution centers and retail outlets\nAcademic Projects\nRelevant Coursework: August 2011 February 2013\nData Intensive Computing, Distributed Systems, Algorithms and Data Structures, Database Systems\nRecent Projects:\nImplemented a cloud-based web solution for an application on Google App Engine\nDeployed a single-node HDFS and using Map Reduce Framework implemented Pairs and Stripes approach for a\ngiven corpse of data. Performance comparison of relative frequencies of co-occurrence was made.\nDesigned and implemented stripped-down versions of Dynamo like storage. It is a DHT based on simplified Chord\nthat does ID space partitioning/re-partitioning, Ring-based routing, Data replication and Node joins & failures.\nDeveloped a framework for storing database files (tables) with indexes, which emulated a database and built a wrapper,\nwhich supports query parsing and valuation. Also, implemented a Cost Based Optimization module to optimize the\nQuery Evaluation process.\nAchievements\nSecured a top 0.5% All India Rank in the country's most prestigious IIT-JEE\nQualified up to the national level of the coveted National Talent Search Examination\nSecured 43rd rank in the country in National Mathematics Olympiad\nNominated for best Newcomer award in Global Logic India in 2007\nReceived Spot Appreciation in RadiumOne on a number of occasions",
  "projects": "Relevant Coursework: August 2011 February 2013\nData Intensive Computing, Distributed Systems, Algorithms and Data Structures, Database Systems\nRecent Projects:\nImplemented a cloud-based web solution for an application on Google App Engine\nDeployed a single-node HDFS and using Map Reduce Framework implemented Pairs and Stripes approach for a\ngiven corpse of data. Performance comparison of relative frequencies of co-occurrence was made.\nDesigned and implemented stripped-down versions of Dynamo like storage. It is a DHT based on simplified Chord\nthat does ID space partitioning/re-partitioning, Ring-based routing, Data replication and Node joins & failures.\nDeveloped a framework for storing database files (tables) with indexes, which emulated a database and built a wrapper,\nwhich supports query parsing and valuation. Also, implemented a Cost Based Optimization module to optimize the\nQuery Evaluation process.\nAchievements\nSecured a top 0.5% All India Rank in the country's most prestigious IIT-JEE\nQualified up to the national level of the coveted National Talent Search Examination\nSecured 43rd rank in the country in National Mathematics Olympiad\nNominated for best Newcomer award in Global Logic India in 2007\nReceived Spot Appreciation in RadiumOne on a number of occasions:\nImplemented a cloud-based web solution for an application on Google App Engine\nDeployed a single-node HDFS and using Map Reduce Framework implemented Pairs and Stripes approach for a\ngiven corpse of data. Performance comparison of relative frequencies of co-occurrence was made.\nDesigned and implemented stripped-down versions of Dynamo like storage. It is a DHT based on simplified Chord\nthat does ID space partitioning/re-partitioning, Ring-based routing, Data replication and Node joins & failures.\nDeveloped a framework for storing database files (tables) with indexes, which emulated a database and built a wrapper,\nwhich supports query parsing and valuation. Also, implemented a Cost Based Optimization module to optimize the\nQuery Evaluation process.\nAchievements\nSecured a top 0.5% All India Rank in the country's most prestigious IIT-JEE\nQualified up to the national level of the coveted National Talent Search Examination\nSecured 43rd rank in the country in National Mathematics Olympiad\nNominated for best Newcomer award in Global Logic India in 2007\nReceived Spot Appreciation in RadiumOne on a number of occasions"
 }
	{
	"name": "Amitabh Sural",
	"email": "[email protected]",
	"phone": "(716) 430-0613",
	"skills": "and Qualifications\nRich experience in Java and Big Data technologies with exposure to Service Oriented Architecture\nStrong exposure to Agile/Scrum methodologies and SDLC lifecycle\nCore Languages: Java, SQL Familiarity: Python\nSoftware/Tools: Git, Perforce, Eclipse Operating Systems: Windows, Linux\nDatabases: Hive, MySQL Other: REST Services\nCloud/Distributed: Hadoop, HDFS, MapReduce, Spark SQL, Redis",
	"education": "University at Buffalo, The State University of New York\nMaster of Science in Computer Science and Engineering, February 2013\nIndian Institute of Technology, BHU, India (formerly Institute of Technology, BHU)\nBachelor of Technology in Electrical Engineering May 2007",
	"experience": "Radiumone Inc. Sunnyvale, CA\nSenior Software Developer March 2015 - Present\nWorking as part of Dataware House team that ingests more than 40TB of data in a day\nSingle handedly reduced the data footprint of the DWH by around 30%, by re-architecture and re-implementation of part of\ningestion pipeline and moving to Parquet Storage Format\nSuccessfully designed and implemented Cross Device Store functionality to existing audience expansion techniques, which\nhelped us in enhancing our target audience by 8-10%\nBuilt REST services around some of the secondary ETL jobs as a part of the endeavor to move DWH to SOA architecture\nDeveloped pipelines for data ingestion from RadiumOne partners and deployed them to production\nCurrently working on a Spark SQL and Druid Based solution for accelerating BI queries\nIntuit Inc. Mountain View, CA\nSoftware Developer February 2013 - March 2015\nWorked as part of the Risk Assessment team in the Payment Solutions Division\nWas part of the team that led the migration of legacy risk mitigation solutions in RDBMS to Hadoop Distributed\nStorage and processing\nImplemented MapReduce jobs for calculating historical merchant transactions/profile aggregates used in fraud\nanalytics and detection algorithms\nWas part of the team that enriched QuickBooks, an Intuit flagship product, by allowing the users to integrate their\nSquare & PayPal transactions with QuickBooks\nIntuit Inc. Woodland Hills, CA\nSoftware Development Intern March 2015 - Present\nWorked as part of the Money-Movement team in the Payment Solutions Division\nWas part of the team involved in enhancements and bug-fixing in the core money movement module of the product\nCitrix India R&D.Ltd. Bangalore, India\nSoftware Developer August 2008 July 2011\nWorked as a part of the sustenance team in the NetScaler Product Group\nMainly was involved in enhancements and bug-fixing in core TCP and HTTP modules of the product Enhanced an existing\nfeature to facilitate larger number of client connections that hog the server resources\nWorked on Escalations and Customer Issues with the Product Support and Escalation Engineers\nActively worked with the Product Management team for future enhancements\nGloballogic Inc. Noida, India\nSoftware Engineer July 2007 August 2008\nDeveloped and maintained a web application for an offshore client that helped them manage the workflow across different\ndistribution centers and retail outlets\nAcademic Projects\nRelevant Coursework: August 2011 February 2013\nData Intensive Computing, Distributed Systems, Algorithms and Data Structures, Database Systems\nRecent Projects:\nImplemented a cloud-based web solution for an application on Google App Engine\nDeployed a single-node HDFS and using Map Reduce Framework implemented Pairs and Stripes approach for a\ngiven corpse of data. Performance comparison of relative frequencies of co-occurrence was made.\nDesigned and implemented stripped-down versions of Dynamo like storage. It is a DHT based on simplified Chord\nthat does ID space partitioning/re-partitioning, Ring-based routing, Data replication and Node joins & failures.\nDeveloped a framework for storing database files (tables) with indexes, which emulated a database and built a wrapper,\nwhich supports query parsing and valuation. Also, implemented a Cost Based Optimization module to optimize the\nQuery Evaluation process.\nAchievements\nSecured a top 0.5% All India Rank in the country's most prestigious IIT-JEE\nQualified up to the national level of the coveted National Talent Search Examination\nSecured 43rd rank in the country in National Mathematics Olympiad\nNominated for best Newcomer award in Global Logic India in 2007\nReceived Spot Appreciation in RadiumOne on a number of occasions",
	"projects": "Relevant Coursework: August 2011 February 2013\nData Intensive Computing, Distributed Systems, Algorithms and Data Structures, Database Systems\nRecent Projects:\nImplemented a cloud-based web solution for an application on Google App Engine\nDeployed a single-node HDFS and using Map Reduce Framework implemented Pairs and Stripes approach for a\ngiven corpse of data. Performance comparison of relative frequencies of co-occurrence was made.\nDesigned and implemented stripped-down versions of Dynamo like storage. It is a DHT based on simplified Chord\nthat does ID space partitioning/re-partitioning, Ring-based routing, Data replication and Node joins & failures.\nDeveloped a framework for storing database files (tables) with indexes, which emulated a database and built a wrapper,\nwhich supports query parsing and valuation. Also, implemented a Cost Based Optimization module to optimize the\nQuery Evaluation process.\nAchievements\nSecured a top 0.5% All India Rank in the country's most prestigious IIT-JEE\nQualified up to the national level of the coveted National Talent Search Examination\nSecured 43rd rank in the country in National Mathematics Olympiad\nNominated for best Newcomer award in Global Logic India in 2007\nReceived Spot Appreciation in RadiumOne on a number of occasions:\nImplemented a cloud-based web solution for an application on Google App Engine\nDeployed a single-node HDFS and using Map Reduce Framework implemented Pairs and Stripes approach for a\ngiven corpse of data. Performance comparison of relative frequencies of co-occurrence was made.\nDesigned and implemented stripped-down versions of Dynamo like storage. It is a DHT based on simplified Chord\nthat does ID space partitioning/re-partitioning, Ring-based routing, Data replication and Node joins & failures.\nDeveloped a framework for storing database files (tables) with indexes, which emulated a database and built a wrapper,\nwhich supports query parsing and valuation. Also, implemented a Cost Based Optimization module to optimize the\nQuery Evaluation process.\nAchievements\nSecured a top 0.5% All India Rank in the country's most prestigious IIT-JEE\nQualified up to the national level of the coveted National Talent Search Examination\nSecured 43rd rank in the country in National Mathematics Olympiad\nNominated for best Newcomer award in Global Logic India in 2007\nReceived Spot Appreciation in RadiumOne on a number of occasions"
	}