Seller Side Payments System: Worked extensively on the Java backend for the seller side payments system.Pre-Transaction Visibility: Developed a feature allowing Walmart teams to determine commission incentives for sellers before orders are placed, optimizing incentives and preventing double-dipping in programs.Kafka Pipeline: Created a Kafka pipeline with consumers that handle millions of requests daily, processing estimated commissions and producing responses to response topics.Commission Management Tool: Developed the backend for the Commission Savings tool, enabling business users to create, update, and delete commission breaks with proper user authentication.Approval Workflow Implementation: Designed the entire lifecycle for commission breaks, including workflows for approval, ensuring that commission incentives are available when orders are placed.Database Management: Worked with both SQL and NoSQL databases, ensuring data integrity and performance.Unit Testing: Maintained 100% test coverage with unit test cases, ensuring code reliability and robustness.System and Low-Level Design: Actively participated in system design and low-level design discussions to create scalable and efficient architectures.Performance Testing: Conducted performance testing to ensure high availability and reliability of the payment systems

Data Tool Development: Engineered back-end and front-end modules for a data tool enabling ML developers to understand and track the evolution of their training data using Hack, ReactJS, and JavaScript.Anomaly Detection System: Implemented both front-end (ReactJS) and back-end (Hack, Python, Thrift) components of the Dataset Anomaly Detection settings, providing users the ability to adjust alert thresholds, enable/disable alerts, and modify monitored features.Automated Alert Scripts: Created automated Python scripts to generate alert detectors, triggering alerts on null percent and zero percent delta for machine learning datasets.GraphQL Integration: Utilized GraphQL schemas and queries for efficient data querying and mutation from both the front-end (ReactJS) and back-end (Hack).

Data Annotation Platform Development: Engineered back-end and front-end modules for a data annotation platform, allowing users to annotate photos, videos, and text using Hack, ReactJS, GraphQL, and JavaScript. Efficient Data Migration: Developed data migration pipelines from Hive to XDB and redesigned code to implement pagination, boosting UI data loading performance by 70%.Dataset Summary Feature: Created a Dataset Summary feature for approximately 12K datasets, aiding model owners in assessing data quality by displaying relevant alerts, data distribution, and top features using ReactJS, Hack, GraphQL, and SQL.Comprehensive Testing: Established Jest end-to-end tests to improve codebase quality and enhance test coverage.

Data Analysis Pipeline Creation: Developed a Data Analysis Pipeline for Amazon's Cradle Engine to generate events, expose them, and perform analysis to gain insights into both the engine and execution environment.Java Libraries Development: Created Java libraries to generate and publish events to Amazon Kinesis Streams, facilitating real-time data processing.Spark Event Integration: Integrated with the Spark Event Bus to generate execution failure events within the engine, improving error tracking and diagnostics.Data Analytics Application: Developed a Data Analytics application using Amazon Kinesis Data Analytics for Java and Apache Flink to analyze events, derive insights, and store them in Amazon S3.Event Generation Scripting: Created Python scripts to mimic event generation for the Cradle Engine, supporting testing and development processes.Comprehensive Unit Testing: Performed unit tests on the application using JUnit and Mockito, ensuring code reliability and robustness.

Utilized object-oriented programming in Java to convert the Chronic disease screening in Singapore from offline to an online system which reduced manual labor by 40%.Designed data models, created tables, and wrote optimized SQL queries to store and retrieve the patient Information efficiently and increase the overall performance.Developed backend services using Spring Boot Framework and used developed Object relational mapping (ORM) using Hibernate between the application and database access. Developed automated scripts to test the application for dynamic and static content using JUnit Framework.Worked in a fast-paced Agile Software Development Lifecycle (SDLC) with cross-functional global teams to consistently deliver high-quality code.Automated applications using Pega Robotics Studio making them 55% faster and making the clients a significant amount of profit.

Created a module that takes keys and files from different locations and perform encryption or decryption as a batch job using Cryptography and file handling in java.Created a hybrid algorithm that uses both AES and RSA algorithm for data encryption and decryption.Used JSON based REST API for data extraction and Swing for the UI.The module reduced the man hours by a 30% and was implemented in the Provident fund application used by the government of India.