
Results-driven Java Backend Developer with 5 years of experience in building and maintaining scalable enterprise applications using Spring Boot, REST APIs, and microservices. Experienced in agile development, code optimization, security remediation, and delivering high-quality solutions. Skilled in leveraging AI technologies to improve application performance and drive innovation.
-> Received the company’s Star Award for successfully completing the critical Driving License Integration project.
-> Hackathon Project –AI-Powered RAG Pipeline Development: Built a RAG pipeline using Spring Boot, LangChain4j, and pgvector to enhance Splunk Cloud’s AI assistant with semantic search over 500+ internal runbooks and incident reports, improving domain-specific query accuracy from ~60% to 95%.
-> Managed full application development lifecycle, including gathering requirements, designing, coding, testing, database management, deployment and release.
-> Conducted unit testing and data validation and Extensive experience in documentation processes in accordance with industry standards.
-> Communicated with clients through daily/weekly calls and Scheduled & prioritized tasks effectively.
-> Demonstrated strong interpersonal, communication, analytical and problem-solving skills.
-> Active participation in Scrum calls, Iteration planning and review meetings, Risk mitigation plans, Project management calls and Client communication calls.