● Performed code migrations of 10 modules and services of eBay’s Browse Page codebase to Java 11.● Spearheaded the development and deployment of over 1100 pages across eBay's US and German sites, contributing to an improved online shopping experience.● Designed, developed, and deployed 6 backend micro-services for eBay's Concord project, significantly enhancing the project's functionality and contributing to its successful execution.● Applied design principles and strategies to minimize latency, ensuring quicker page loading times.● Conducted design review discussions to refine development approaches for various modules, fostering a collaborative environment within the development team.● Utilized Agile methodologies, including Scrum and Kanban, adapting quickly to changing project requirements and ensuring an efficient development process.

Client: eBay San Jose, CA (Since January 2021)Role: Software Developer and Team Coordinator● Developed the backend of eBay’s product page using Java 8 and Spring Boot● Performed code migrations of 5 modules/services from Raptor (JSP, Java 1.7) codebase to Java 11.● Designed Module Architectures and implemented strategies to reduce latency and ensure faster page load.● Implemented Unit Testing and API testing to ensure better code quality and coverage.● Led and coordinated a team of 8 individuals including backend and frontend developers, and QAs across 3 different time zones.● Handled code releases and monitored EP ramp and production spikes using Sherlock IO metrics.

Topic: Fundus Image Classification• Performed Transfer Learning with state-of-the-art Convolutional Neural Network architectures with more than 80,000 images belonging to 4 different classes• Fine-tuned the model and achieved an accuracy of 94% on test data• Incorporated data cleaning and class weighting techniques to improve accuracy by 11% on imbalanced data

Peer Tutor for Computer Science courses at Temple University

Technical Support/ Help desk at Temple University Health Science Campus.

• Derived the correct scaling laws for acceleration, force, and dynamics of scaled robot vehicles and quantified mismatch with actual vehicle mass, motor power and friction• Designed and built a robot car model that implemented Ackerman Steering using a differential • Developed and implemented a Proportional Derivative control algorithm for a line following robot vehicle that implemented front wheel steering and calibration

• Improved Regression testing for Vertex’s O Series 9.0 product by creating more than 40 new test cases• Scripted multiple UI automation scripts using Selenium in Python.• Identified, documented, and reported errors, bugs, and other issues within Vertex's O Series 9.0 product• Executed System, Unit, and Functional testing to test, identify and debug 15 different webpages of O Series 9.0