Member of Technical Staff @ Oracle | Building Production AI Agent Systems | Multi-Agent Architectures | IIT Kharagpur




Remote

Hyderabad







Integrated Msc, Mathematics and computing
Indian Institute of Technology, Kharagpur
Carmel Convent School
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I enjoy building AI systems that can reason, plan, and reliably accomplish real-world tasks. My career has taken me from computer vision and 3D reconstruction to collaborative XR systems, and now to building production AI agents at Oracle. What I find most interesting isn't just using foundation models, but designing the infrastructure around them—planning, orchestration, memory, tool use, evaluation, and developer workflows that make agents dependable in production. Today, I work on Oracle's AI Concierge, building the systems that power enterprise AI agents. Outside work, I enjoy building side projects that explore new interfaces for AI, from real-time voice agents to local-first knowledge systems. I'm excited by the challenge of turning foundation models into reliable software systems.
Bengaluru
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anthropic apis
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openai
Member of Technical Staff (IC-2) at Oracle, Oct 2025 - Present · 1 yr, Building AI Concierge for Oracle Fusion Data Intelligence, an enterprise AI copilot that enables customers to configure and operate enterprise systems through natural language. • Architected the multi-agent platform powering Oracle AI Concierge, enabling configurable agents, tools, and composable workflows that accelerated delivery of new AI capabilities. • Built the MCP integration infrastructure for AI Concierge, enabling Oracle product teams to integrate their MCP servers and expose domain-specific capabilities to AI agents. • Developed an automated evaluation framework for validating agent planning, tool execution, and response quality across large-scale regression suites. • Built an AI coding agent for Oracle's internal DSL supporting semantic understanding, multi-file generation, and automated repair workflows adopted across multiple teams.
Member of Technical Staff - 1 (IC-1) at Oracle, Jul 2024 - Sep 2025 · 1 yr 3 mos, • Designed and implemented a planning-first agent execution runtime using LangChain4j and OCI Generative AI to improve latency through dependency-aware execution planning. • Built core conversational intelligence for Oracle AI Concierge, enabling reliable multi-turn interactions through context-aware query enrichment and session memory.
Founding Engineering Intern at Unproject, Dec 2023 - Apr 2024 · 5 mos, Founding engineer on a collaborative XR design platform for creating interactive 3D experiences. • Built a Figma-like collaborative 3D editor for the browser using React, TypeScript, React Three Fiber, Redux, and Supabase, supporting hierarchical scene graphs, object transforms, grouping, and undo/redo. • Designed and implemented a visual storyboarding interface using React Flow, enabling creators to author interactive multi-scene XR experiences.
Server Technology Intern at Oracle, May 2023 - Jul 2023 · 3 mos, Remote, Worked with Oracle Server Technologies to build infrastructure for scalable API testing and validation. • Integrated the VCN-IP team's internal testing APIs into Oracle's centralized API testing service, provisioning cloud infrastructure with Terraform and adapting Java services, Docker images, and deployment scripts for the new platform.
Computer Vision Intern at Preimage, Dec 2022 - Apr 2023 · 5 mos, Worked on large-scale 3D reconstruction pipelines for urban environments using Structure-from-Motion and optimization techniques. • Built a Structure-from-Motion pipeline for dense 3D reconstruction from 10,000+ urban-scene images and integrated GPU-accelerated bundle adjustment (DeepLM) to significantly improve optimization performance.
Research Internship at Robotics Research Center (RRC), IIIT Hyderabad, Jan 2022 - Jul 2022 · 7 mos, Hyderabad, Contributed to the research and development of an autonomous wheelchair platform, focusing on navigation, perception, and intelligent planning. • Integrated the ROS Navigation Stack on an autonomous wheelchair, enabling point-to-point navigation using laser-based localization and mapping. • Developed perception pipelines for human detection, face detection, and natural language-based wheelchair navigation using RGB-D cameras and NLP models. • Built a reinforcement learning pipeline for global path planning using Stable Baselines3.
Integrated Msc, Mathematics and computing, Indian Institute of Technology, Kharagpur
Carmel Convent School
github: https://github.com/Nishantgoyal918