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- 95%Jobs Completed
- 100%On Budget
- 100%On Time
- 11%Repeat Hire Rate
Quick help with Amazon LightSail account
“Expert advise and great work. Thanks for the quick help. Keep it up.”Viral S. 10 months ago
Project for dirisalagopal
“Great talent......................................”Vasudha I. 11 months ago
XML to JSON Converts for Large data sets
“Great programmer with excellent communication. Easy to work with and a professional attitude. Will definitely be working with him again.”codebunny1 11 months ago
PHP script for DynamoDB
“bons conhecimentos em programação, recomendado”epsantos1 11 months ago
C# Write to S3 using AWS Firehose Kinesis
“Very prompt solution to project. Strong knowledge of AWS and C#. Very willing to go above and beyond expectations.”lratjens 11 months ago
AWS Gateway API & Lambda
“Gopal was outstanding in every aspect of the work. Well worth hiring !! Would recommend.”codebunny1 11 months ago
FBX WCA IntegrationOct 2014 - Dec 2014 (2 months)
Environment: Java, MySQL and Shell Script Project Description: Integrated FBX Website Custom Audience marketing channel. This allows us to target client Facebook ads to audiences of people who have visited client website/app and re-market to people who have expressed interest in client products. Through this channel, we are serving 5 million impressions per day with 50% profit margin.
RTB Platform ManagementSep 2014 - Dec 2015 (1 year)
Environment: AWS, Puppet and Debian Packaging Project Description: Create, manage, provision and update RTB resources (machines, disks, auto scaling groups, ELBs, security groups, NACLs, cloud watch alarms and etc.) using AWS cloud formation. Centralized management of RTB machines using puppet. Wrote custom puppet modules to configure machines and deploy code in those machines. Debianize RTB packages and setup a repository with HA support.
Senior Software EngineerJan 2014 - Mar 2016 (2 years)
1> Integration with ad exchanges like Facebook, Website Custom Audience (WCA), Rubicon, Google and etc.. 2> Caching techniques (memcache, redis, aerospike, bloom filter and etc.) to access data fastly. 3> Real time data propagation of bid logs using flume and kafka. 4> RTB user data cache optimization. 5> Intelligence bidding using machine learning algorithms like logistic regression, homing algorithms and etc.. 6> RTB infra stack creation using Amazon web services.
Database Porting on Linux-SparcMar 2013 - Jul 2013 (4 months)
Environment: C, C++, Java Project Description: Linux on Sparc is a new platform. Right now, oracle database is not available on this. My objective is to bring the oracle database instance up on this new platform. In oracle database code, 80% is posix compliant, 18% is OS dependant(OSD), 2% is architecture specific. So, I have changed the platform (OS and architecture) specific code. The database instance is successfully ported on Linux-Sparc platform.
Member Technical StaffAug 2012 - Jan 2014 (1 year)
• Porting database platform dependant changes from one platform to other platforms (Linux, Solaris, Hpux and Aix) • Working on database Virtual Operating System layer. This layer deals with platform dependant services such as process management, memory management, inter process communication, disk i/o management, latching and error handling
MTech2010 - 2012 (2 years)
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