Outcomes:- Led guided Q&A- Service mesh and multi-region for ORS (enabled in pre-prod; monitoring for few days before we enable it)- ORS: refactoring & component tests- QBLive signup page perf improvement. TP99 12.5 -> 8.5 secs. Bundle size improvements- QBLive UI code decomp approach- GET: fire drill, tuning PD alerts and playbookStrengthsProgramming:- strong front-end engineer. Evident in signup page perf improvement- Guided Q&A: Task status processor- Rev share: Led design and skeleton implementation of rev share tab (one of the 3 big areas on rev share work owned by QBOA team) and owned it and guided the team through completion- QBLive FCI tracking: Primary driver for all of QBLive FCI trackingDesign and architecture:- QBLive UI code decomp approach. Clear plugin boundaries for each assets: loader, hub, roadmap, signup. Aligned with L2s. Release strategy for each. High level contracts of interaction between these assets.Opex:- Implemented Service mesh for authz for ORS- GET: fire drill, tuning PD alerts and playbook- parallelization of qblive UI automation tests. PR build time decreased from ~10m to ~6.6m- On top of FCIs. e.g. issue in FTU saving prefsOwnership & accountability:- ability to work cross-teams and cross-BUs and developing technical solutions that leverage existing capabilities and also him contributing back to these capabilities- (cross-team/BU) Siming partnered with the identity team to design identity profile widget and get it ready for the rev share team to consume.- (cross-team/BU) Influenced capability widget owners (appointments and messaging) outside of his tea/org to expose a prop so that we can track interactions that start in QBLive plugin but end in one of these dependent widgetsAttract, retain and develop the best:- Guided team and enabled team on component tests for ORS with refactoring- UI perf tech talk- Guides team members both on sprint work and FCIs/issues

1. Led MER management reports project across multiple teams without bugsa) Worked with report team:i. communicated and set up the expectation from the report teamii. completed code implementation in the ownership of the report team for both front-end and back-end service.iii. led and drove the code deployment in pre-prod and prod for both front-end and back-end services as well as testing.iv. resolved localization problem based on the additional requirement changeb) Worked with Pragthi from MER team:i. communicated and proposed the code structure/implementation to be added to MER codebaseii. implemented code to MERiii. introduced new feature of AppFabric and helped MER team to integrateiv. helped MER team and locate oncall issue root cause and unblocked me from adding and merging codev. added FCI code for FCI analysisvi. led and drove pre-prod and prod testingvii. co-led prod experience check-in with real customerc) Worked with PM and XD:i. communicated with PMs and addressed newly added requirementsii. worked with PM and XD to trace the MER management project progress including requirement change and testing2. Member of Cohort 2.0 of add/edit client project.a) Worked with teami. communicated with project leader regarding cohort projectii. finished and completed code implementation3. Co-led with Staff engineer for FCI tracking integrationa) worked with Bharath and set up the requirement and expectationb) implemented FCI tracking and made it a library so that it can be re-used in all the reposc) integrated FCI and applied it to add/edit client paged) created FCI tracking dashboard for add/edit client for performance analysise) drove and helped junior engineers to integrate FCI to add/editd) shared FCI library to opex and will move it to AppFabric

1. Worked in a team of 7 responsible for developing and maintaining backend services that provide shipping data to Search, View Item, Cart and Checkout on eBay2. Developed highly scalable micro-services that receive over 1.6 billion calls every single day3. Conducted, designed, and implemented backend service that helps buyers get recompense (shipping price refund or coupon including tax collected on the behalf of the government) with eBay’s own second generation payment system named Payment 2.04. Built monitoring and alerting for the services to detect and analysis production level application and system failures5. Fixed bugs, resolved production support and RTB issues, and executed shipping HSR (high speed rates) ingestion to update the rates provided by different carriers for Search6. Raised automation line coverage from 52% to 82%, fixed code coverage accuracy issue by replacing powermockito with Jmock

1. Worked in a team of 15 responsible for analysis, design and implementation of mortgage banking products2. Conducted Java programming to implement automated cron jobs on loan info validating and updating3. Implemented Java programming to collect user information as a data source, and generated millions of live records for analysis, which helped company to improve user experience and build roadmap4. Designed and implemented an automated email report generator that helps generate corresponding emails5. Implemented MVC (Model-View-Controller) to satisfy new requirements and better capabilities based on JSF (Java Server Faces) as framework