Results-driven Senior Software Engineer with 8+ years designing, developing, and deploying scalable Java microservices and distributed systems. Expertise in Spring Boot, Kafka, Kubernetes, and Azure cloud-native architectures. Experienced in integrating AI/GenAI/MCP using OpenAI APIs and Model Context Protocol (MCP) for intelligent systems.
A full-stack developer mostly aligned towards back-end and Java server-side, along with React JS for frontend applications. Currently working on Gen AI Assistant Data Ingestion workflow (RAG) and MCP Server/Client at Walmart Global Tech.
Microsoft AZ-900 Certified Azure cloud developer with experience in training and mentoring interns and new joiners. Extensively practiced Agile and Iterative software development methodology, running Daily Stand Ups and Sprint Planning Management.
Comprehensive skillset across multiple technology domains
Proven track record in leading technology roles
Leading backend development for critical financial systems and AI-powered solutions.
Enhanced lead generation systems for real estate platform.
Developed distributed computing solutions.
Contributed to distributed computing solutions as an intern.
Innovative solutions with significant business impact
Global Tech Portfolio Planning Platform - an application responsible for creating and maintaining investment portfolios and analyzing costs for the AOP cycle. Integrated with MCP and Chat Assistant.
Generative AI assistant to help users locate comprehensive information about APIs and teams within the organization. Features data ingestion for AI models and embedding services for Milvus Vector DB.
Enhanced the NoBroker app with automatic lead generation from missed calls and in-app user activity. System intelligently assigns leads to Relationship Managers based on predefined logic.
Contributions to the developer community
An Open Source Contribution in Intellij Community Plugin Development approved by JetBrain under Apache-2.0 license.
Contributed bug fixes to Azure Java SDK, addressing critical issues in the Azure client libraries.
Developed to find COVID-19 cases in Northeast India during 2020. Developed Using Spring Boot and AngularJS.
Master of Computer Applications (MCA)
CGPA: 8.57 / 10
Bachelor of Science (Computer Science)
CGPA: 5.87 / 10