- Analyze and tune end-to-end performance on large scale distributed systems- Optimize performance by working closely with developers to improve code performance, reduce resource consumption and shorten request latency- Analyze performance results and metrics to identify bottlenecks and opportunities for optimizations- Conduct feasibility studies for new technologies/architectures and benchmark by prototyping- Influence design and implementation choices during cross team design discussions- Work with marketing, infrastructure engineering, and development teams to plan capacity and find the optimal way to scale the infrastructure and services- Own end-to-end product performance, influence architecture design, define networking requirement, and help support new product launch with partners across the world.- Work with Infrastructure and SRE team to root cause live production problems. - Communicate status and risks to cross functional teams and offer mitigation strategies.- Evangelize performance and architecture best practices throughout the engineering team- Perform the capacity planning for the future expansions

Apple Pay Performance and Scalability Engineer

- CA APM Assisted Triage Performance Analysis - CA APM 10 Differential Analysis Performance Analysis - CA APM 9.7 CEM Performance Analysis- Responsible for analyzing software products and their capacity planning through the use of systematic effective performance tests to develop, apply and maintain quality standards for company products. - Analyze resources utilization like cpu, memory, heap and db connections to verify the performance of the applications and identifying bottlenecks in the system - Evaluated the performance of Cassandra cluster using Datastax OpCenter while on boarding it as a new technology

Sentiment Analysis of Twitter Data- Extracted data from twitter and Apache web server to generate test data sets using Apache Flume 1.4- Loaded data into HDFS in JSON format and processed it over Hadoop (0.90) Map Reduce Architecture - Analyzed data using Hive 0.9 by pushing into hive tables on HDFS

The aim of this project was to detect insider threats on the basis of the behavior of a user. The prototype was developed in Java under supervision of Dr. Latifur Khan at UT Dallas. It was based on an ensemble based learning algorithm that maintains a compressed dictionary of repetitive sequences.

• Defined and designed new process that integrates the IT Global operations team with change management • Evaluated and ensured effective implementation, monitoring of adherence to established policies, standards• Documentation creation, monitoring, remediation / escalation, and enforcement of global operational policies, standards, guidelines and procedures and ensuring that the established service levels and end user experiences are met• Established & maintained proper performance thresholds as per service level compliance

• Managed claim processing system (Calypso) which is a SQL Server 2000 batch processing system. It was developed and deployed on Windows Server 2000.• Managed all phases of claim processing database development, including mapping, designing, configuring, implementing, testing and post-launch support.• Developed complex SQL scripts like nested stored procedures, triggers and packages according to business requirements. • Responsible for DTS to SSIS package conversion and migration of SQL scripts from SQL 2000 to SQL Server 2008.