# Ashok Srinivasa murthy > Principal Engineer at Salesforce Location: San Jose, California, United States Profile: https://flows.cv/ashoksrinivasamurthy - Architected and deployed Edge compute platform across different geographies that serves over 35billion requests a day and improved the response performance by 250ms for over 170 million eBay users. This resulted in a 2% improvement of the overall business metrics. - Created data pipeline (ingests over 100 billion data points a day) used for monitoring, comparing and analyzing the traffic metrics. ML jobs are created for near real-time anomaly notification, visualization and trending. Provided unprecedented insight into the end-user performance across the world. - Optimization and performance improvement of cloud and platform Applications - work won 3 related patents and was presented at conferences. - Developed performance testing framework and benchmarks for eBay applications and cloud platform. - Blockchain-related technical contributions in group that won 7 patents and was presented in 2 conferences. - Expertise in OS including compilers, Linux kernel porting + debugging, device drivers for embedded systems. ## Work Experience ### Principal Engineer @ Salesforce Jan 2020 – Present | San Francisco Bay Area Performance engineering team for the #1 Analytics product in the world (Salesforce + Tableau) ### Sr. Member of Technical Staff @ eBay Inc Jan 2018 – Jan 2020 | San Francisco Bay Area Architect and product lead Developed Edge computing platform running on Kubernetes with software LB and deployed on PoPs. Features - Session acceleration, Dynamic caching, Security pipeline, Datapath anomaly detection. Interaction with Frontend, Tools and Operations teams to rollout the solution to the Edge. ~250ms network latency reduction to all the eBay user flows. Identify and work with teams/applications to prioritize onboarding on this platform. Work with their scrum teams to execute faster. Data framework for aggregation, enhancement, analysis and visualization from heterogeneous channels. Developed a data abstraction framework and data enrichment layer to ingress logs and metrics from different sources. Coordinate with multiple teams to Integrate this framework into their applications. This provided eBay with unprecedented insight into the traffic pattern and user behavior and its relation to the business metrics. The analysis and visualization enabled the ops and execs decision making with near-real time insights and trending for security, traffic shaping and ISP irregularities. Exposed this as a service to be consumed by internal customers for further analysis. Dynamic Caching on the Edge – phenomenal improvement in user experience Identify the static and user specific (personalization) content in the application response and orchestrate a flow to cache and quickly deliver the static content to the users (TTFB improvement by 500ms) and augment the user specific content with a call back to the Datacenter in the context of the same request. The response is delivered seamlessly to the user in multiple chunks. This orchestration is implemented as a filter in Envoy proxy ### MTS2 @ eBay Inc Jan 2013 – Jan 2018 | San Jose, California, United States Cloud optimization – Instant flex up/down, Optimized load balancing, Resource based allocation Collaboration with Hardware Engineering and Datacenter teams to enable scheduling of applications based on application characteristics and optimized load balancing algorithms. This effort reduced the cloud infrastructure capex and increased the resource utilization by 33% increased the applications performance by reducing the neighborhood noise for services co-hosted on the same node in the cloud. ESB and API gateway – Rearchitect the API gateway framework to handle all the Native app traffic. Implemented an open source based horizontally scalable architecture catering to microservices and legacy applications. This is handling more than 60% of eBay traffic providing deep insights and visibility. ### Principal Member of Technical Staff @ Oracle Corporation Jan 2010 – Jan 2013 | San Francisco Bay Area JVM Monitoring and Diagnostic tool. Enabled administrators to diagnose performance problems in Java application in the production environment without having to reproduce them in the test or development environment. It provided in-depth visibility of JVM and java application activity with low overhead. Integrated with Oracle Enterprise Manager and enabled diagnostic data collection from different vendors. ### Staff Software Engineer, Platform Engineering @ eBay Jan 2008 – Jan 2010 | San Jose, California, United States JVM Tuning and performance improvement of eBay’s kernel framework and applications. Identified scalability bottlenecks, achieve the optimal QoS and help with capacity planning. This resulted in reduction of capex (infrastructure) and opex (increased availability and reliability) costs for critical applications ### Associate Software Analyst @ HP Jan 2006 – Jan 2008 Lead the Hotspot Java Virtual Machine initiative on NonStopKernel. Port, enhance and support different versions of Sun JDK and JIT compilers on MIPS and Itanium platforms of NSK. ### Senior Software Engineer @ HP Jan 2004 – Jan 2006 ### Sr.Software Engineer @ IBM Jan 1999 – Jan 2003 Compiler and MMI (Mixed Mode Interpreter) for IBM JDK. Linux system programmer for Dynamic probes (dprobes) - generic and pervasive debugging facility used to debug kernel and user apps. It operated by inserting software dprobes dynamically into executing code modules. WatchPad -Embedded Linux on form factor watch. Ported Linux Kernel to ARM EP-7211 processor. Implemented device drivers for touch screen, scroll wheel, LCD/OLED display. Developed an emulator for developer on-boarding. ## Education ### MS in Software System Birla Institute of Technology and Science, Pilani ### Bachelor of Engineering in Electronics and Communication The National Institute of Engineering, Mysuru ## Contact & Social - LinkedIn: https://linkedin.com/in/ashoksrinivasa --- Source: https://flows.cv/ashoksrinivasamurthy JSON Resume: https://flows.cv/ashoksrinivasamurthy/resume.json Last updated: 2026-04-12