Jul 2018 – Nov 2024 · 6 yrs 4 mos · Bangalore

• Worked as focal Point of Performance of HCI product Cisco Hyperflex
• in India working with the team located in San Jose
• Characterized performance for multiple releases of Cisco Hyperflex
• product on various OS Platforms like ESXi, HyperV with varying
• storage drive types like NVMe, SSD, HDD
• Characterized performance of new features like Software Encryption,
• and CRM QoS working closely with development during the product
• lifecycle
• Led team of 2 engineers working on executing and analysing
• performance workloads, managing their work distribution and ensuring
• execution of assigned tasks
• Successfully worked on integrating performance test framework with
• observability tool Snappyflow for displaying performance dashboard
• and system performance data
• Prototyped capability to initiate, schedule and monitor performance test
• runs with Snappyflow team and productized it internally for the
• development organization
• Provided technical support to customers for Cisco HCI with Nutanix and
• Hyperflex focusing on escalations and high severity issues

Dec 2016 – Jun 2018 · 1 yr 6 mos

• Responsible for performance benchmarking and competitive analysis of Qualcomm’s new arm based Centriq servers against Intel x86 servers using the Big data stack
• Role involved end to end responsibility for benchmarking multi node clusters of ARM servers against intel x86 servers using both Spark and hive over hadoop with industry standard benchmark TPC-DS
• Role also involved documenting competitive analysis and providing inputs to marketing and sales for selling the product
• Successfully completed one major release of the Qualcomm Centriq 2400

Aug 2009 – Nov 2016 · 7 yrs 3 mos · On-site

• ➢ Data Science Experience Platform
• Worked as performance engineer for Data Science Experience – a
• universal platform for data scientists being developed at IBM
• Work involved performance benchmarking of the platform which
• uses Apache spark as a service as the compute engine
• Utilized Jmeter for performance testing and used Jupyter notebooks
• for writing testing scripts in Python
• ➢ Big SQL
• Worked as performance benchmarking engineer for Big SQL, IBM's
• SQL-on-Hadoop product and performed competitive analysis with
• Apache Hive using TPCH benchmark
• Work involved code profiling analysis, resource utilization, CPU / IO
• usage analysis, network usage analysis and query optimizer.
• Completed the first release of the BigSQL product
• Worked on the performance for release of Big SQL HBase which
• adds support to Big SQL for HBase tables. This involved using the
• YCSB Benchmark workload (Yahoo Cloud Serving Benchmark)
• which is a widely used workload for NoSQL stores and OLTP
• workloads.
• ➢ DB2
• Worked on performance characterization for 2 major releases of
• DB2 (v10.1 and v10.5) and fix packs of various streams. The work
• involved performance testing using both OLTP and Data
• Warehouse benchmark workloads like TPCH, TPCC, TPCDS and
• customer workloads.
• Proactively worked with development for defining performance
• targets for specific new features and writing custom tests for the
• features.
• Worked with development for resolving performance degradation
• which involved either query optimizer issues or a code path issue.
• Solved performance issues of various customers as L3 Support