Ishan Mehta

• Delivered efficient code fixes and enhancements for the Oracle Employment - a critical component of the Oracle Human Capital Management(HCM), using Oracle ADF Framework, Java and SQL, improving product functionality. • Developed PL/SQL scripts to diagnose and rectify corrupted customer data, reducing manual efforts & time by 90% . • Resolved live customer issues by providing optimized solutions for seamless transaction processing in job offers, hires, promotions, transfers, and terminations, improving user satisfaction. • Collaborated with cross-functional teams to enhance product features and conducted thorough testing and validation to ensure code quality and functionality integrity.

• Migrated a VM-based product to a serverless architecture, reducing costs by 40% and enhancing scalability. • Implemented two Azure Function Apps in C# and Python for on-demand computing, increasing efficiency. • Refactored existing code by breaking down complex functions into manageable ones, eliminating redundancy, and organizing code into modular files, resulting in improved code maintainability. • Developed a new feature from the scratch for structured data extraction from ’NACH’ documents (images/PDFs). • Configured Azure CosmosDB and Azure Blob Storage for efficient data management and document storage. • Conducted static code analysis using SonarQube for a clean codebase and validated system scalability and responsiveness for 100 concurrent users using JMeter.

• Developed backend of BountyInfoTool to consolidate scattered bounty data, enhancing accessibility and efficiency. • Outlined low-level design for layerwise, loosely coupled, and highly cohesive code; implemented RESTful APIs using Java for scalable CRUD operations and leveraged DynamoDB for optimized data storage and retrieval. • Performed unit testing with Mockito to ensure full code coverage and reliability.

Coursework: Distributed Software Development Cloud Computing Foundations of Algorithms Statistical Machine Learning