Senior Software Engineer @ Oracle | Distributed Systems, Enterprise AI, MCP Infrastructure, Java

Boston, MA

United States

Waltham
Quincy,MA

Boston

Boston

Greater Boston Area

Greater Boston Area







Master's Degree, Information Systems
Northeastern University

Master's degree, Information Technology
University of Mumbai
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I build scalable backend systems, cloud-native platforms, and AI-enabled engineering solutions that improve software reliability and engineering velocity at scale. With 10+ years of backend engineering experience, I specialize in distributed systems, high-concurrency Java services, microservice architecture, and enterprise platforms. My core focus is designing reliable backend services that power complex business workflows, while also applying emerging AI technologies to improve engineering productivity and enable intelligent enterprise applications. At Oracle, I design and build Java-based microservices and backend platforms within the Orders organization, contributing to critical enterprise workflows, large-scale data synchronization, and highly available distributed systems. I focus on building scalable services using modern cloud-native architectures while ensuring reliability, performance, and maintainability. Recent areas of impact include: • Designing and developing high-concurrency Java microservices using Micronaut to support enterprise order workflows and backend services. • Building distributed backend systems focused on scalability, reliability, data consistency, and integration across complex enterprise platforms. • Developing custom MCP tools and AI skills within an Agent-Oriented Architecture (AOA) to enable AI-powered workflows for the Orders organization, connecting LLM capabilities with enterprise business processes and domain-specific requirements. • Identifying the need for scalable AI resource discovery and designing a FastMCP-based AI Skill Registry used by 140+ engineers across the organization, enabling teams to discover, register, and reuse AI skills and MCP resources. • Developing 15 reusable AI skills adopted across multiple engineering teams, helping automate workflows and accelerate AI-assisted development. • Driving AI adoption practices around skill development, workflow creation, MCP server discovery, and onboarding while leading technical demos and knowledge-sharing sessions across engineering teams. • Partnering with engineering teams to establish reusable patterns and best practices for building and adopting AI capabilities. Previously, I built a healthcare conversational AI platform that enabled doctors to interact with enterprise healthcare data through a chat-based portal using embeddings, vector search, and retrieval workflows. I also implemented physician feedback loops to continuously improve response quality.
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Supabase
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Master's Degree, Information Systems, Northeastern University
Master's degree, Information Technology, University of Mumbai