Parveen Chhikara

About Parveen Chhikara

Continuous Learning and Persistence helps in developing the best by you and of you\".I have been following this motto throughout my academics and professional career to be a better software engineer every day. I consider myself as a passionate coder and engineer who is always looking out for interesting and impact-full problems to solve. Summary of my experience is mentioned below:• Professional hands-on experience on cutting edge Machine learning and Big Data Technologies.• Strong fundamentals in the distributed computing and its related open source technologies and concepts.• Experienced in designing and implementing high quality software solutions using cross-cutting technologies with the focus of scalability, maintainability, readability and performance.• Interest in exploring and adopting new technologies and flexible in working on new technology stack.• Experienced in guiding 5-8 member teams as a Technical Lead.My Skills and Interests include:• Computer Algorithms and Data Structure• Machine Learning (ML) and Artificial Intelligence(AI)• Natural Language Processing (NLP)• Distributed Systems and Big Data Technologies• Web Applications and Mobile App Development• Blockchain TechnologyDuring the free time, I love to do these activities:• Football (Soccer)• Running• Swimming

Experience

1. Software Engineer

   eBay

   Feb 2021 — Present · San Jose, CA, US

   Currently working on- Horizontally scaling the eBay Signals Platform across eBay - Enhancing monitoring capabilities of the eBay Signals Platform - Accelerating the onboarding of new signals by partner teams on the eBay Signals Platform - Integrating the ViewItem Core Backend service with Federated eBay GraphQL - Developing a common test framework across the ViewItem organization to unify integration testing practices* Designed and implemented the eBay Signals Platform powered by Machine Learning and Statistics, significantly enhancing customer experience and generating approximately $500M in incremental site Gross Merchandise Bought (GMB) within the first six months.* Integrated WebPurify (AI and human-based moderation) into the eBay Video Moderation Tool, replacing the previous human-only moderation system.* Designed and implemented an experimental prototype for displaying AI-generated item descriptions, enhancing user experience, improving trust, and boosting SEO rankings for the ViewItem page.* Designed and implemented value-added service functionalities (such as tire installation, warranty, and vault services) on eBay item pages, increasing the transaction rate by 1-5% across various item categories.* Improved the 95th and 99th percentile transaction times of the ViewItem Core BackEnd Service by 90%, significantly reducing connection stacking issues and non-2xx service error counts, thereby directly enhancing customer experience* Improved JVM CPU usage of the ViewItem Backend Service by 30-35% and reduced average transaction time by 6%, resulting in a 20% reduction in the size of production pools and lowering infrastructure costs.* Redesigned, restructured, and enhanced the implementation of the ViewItem PR Validation Pipeline (CI/CD), reducing the running time from 2 hours to 25 minutes. This improvement facilitated faster PR lead times and minimized developer productivity loss due to context switching.

Education

• The University of Texas at Dallas

  Master of Science (MS), Computer Science

  2014 — 2016

• Kurukshetra University

  Bachelor of Technology (B.Tech.), Information Technology

  2005 — 2009

Skills

• Xml
• C
• Macro
• Html
• Drools
• Itext
• Weka
• Tomcat
• Pmd
• Restful Webservices
• Hibernate
• C++
• Docusign
• Jsp
• Android Development
• Raspberry Pi
• Javascript
• Spring Framework
• Pl/Sql
• Jmeter
• Jstl
• Mysql
• Jquery
• Core Java
• Json
• Junit
• Findbugs
• Struts
• Iot
• Oracle
• Jboss Application Server
• Ibatis
• Maven
• Apache Velocity