About

Work Experience

• Software Developer, SharedPro

  May, 2024 - Present

  • Developed and supported Spring Boot REST APIs for candidate management and interview workflows, successfully handling 500+ interview sessions per month with 99.5% uptime

  • Improved candidate assessment accuracy by 35% by integrating Cartesia transcription and Hume sentiment analysis APIs, enabling automated evaluation and real-time interview insights

  • Built Spring Boot RESTful Web Services for file and document uploads using MultipartFile with comprehensive validation, reducing upload errors by 60% and supporting 200+ daily file uploads

  • Designed RESTful endpoints for job posting with robust input validation, structured request handling, and standardized error responses, improving API reliability by 45%

  • Developed internal automation features that streamlined interview scheduling and proctoring workflows, reducing manual coordination effort by 40% and saving 15 hours per week

  • Collaborated with product and AI teams to deliver new interview automation capabilities, improving backend stability by 30% and reducing API response time from 800ms to 450ms

• Software Developer Intern, SharedPro

  Dec, 2023 - Apr, 20244 months

  • Identified and resolved critical production issues including NullPointerExceptions, authentication failures, and booking conflicts, reducing production bugs by 55%

  • Migrated legacy monolithic JSP-based application to a modern React-based frontend with Spring Boot REST APIs, improving page load time by 65% and enhancing user experience

  • Wrote comprehensive unit tests using JUnit and Mockito achieving 85% code coverage, ensuring code reliability and reducing regression bugs by 40%

Projects Experience

• Fitness App Microservices, Personal Project

  Jun, 2024 - Dec, 20246 months

  Full-stack microservices-based fitness application with AI-powered recommendations, event-driven architecture, and secure authentication

  • Architected and developed scalable microservices system using Spring Boot, Spring Cloud, and Apache Kafka for asynchronous communication between services

  • Implemented service discovery with Eureka, centralized configuration with Config Server, and API Gateway for secure routing and token validation

  • Built User Service with MySQL/JPA and Activity Service with MongoDB, demonstrating polyglot persistence and database optimization

  • Integrated AI Service using Spring AI with OpenAI/Gemini for generating personalized fitness recommendations based on user activity patterns

  • Configured OAuth2 authentication with Keycloak for secure user login and token-based authorization across all microservices

  • Designed event-driven architecture using Kafka to publish activity events and trigger AI recommendation generation asynchronously

Skills

Education