Leading Replit Billing

Replit Teams

• Published 2 research papers (under review) on Deep Learning Techniques for Alzheimer and Amyloid detection from MRI scans.

• Leveraged transfer learning with a variety of Vision Transformer and CNN architectures, combined with parameter-efficient fine-tuning methods, to enhance resource-efficient training processes, resulting in more streamlined model development.

Backend Experience:

• Engineered event-driven microservices with REST APIs using Spring Boot, SQL Server and Message Queues to automate the generation and delivery of investment reports, resulting in an 80% reduction in manual report creation effort.

• Attained 95% test coverage by adding Unit Tests to 30+ backend classes and 100+ methods using JUnit and Mockito.

• Configured CI/CD pipeline using Jenkins to automate deployment, and integrated SonarQube plugin to perform continuous code inspections, resulting in 25% reduction in code vulnerabilities.

• Integrated ADFS authentication and OAuth authorization into microservices, ensuring compliant access to investment reports.

Frontend Experience:

• Built a web application with React (TypeScript) and Spring Boot to reduce manual testing time from 60 mins to 1 min by utilizing Java Reflection API for efficient comparison of nested Java objects, producing detailed analysis reports on data discrepancies.

• Achieved a 70% reduction in load times for React (TypeScript) applications by implementing Chunking and Lazy Loading of modules.

• Created a chat-based platform for businesses to boost online client interaction with the team of 5 members using ReactJs (Frontend), ExpressJs, NodeJs (Backend).

• Implemented features such as chat prioritization, chat delegation, issue tracking, and priority-based acceptance, allowing the organization to complete MVP in less than 2 months.