Role Overview
At Moog India Technology Centre in Bengaluru (internship extended for high-impact delivery), I built and deployed production AI systems for safety-critical aerospace engineering - from agentic RAG pipelines and multimodal document intelligence to computer vision for restricted labs and AI-driven supply chain automation. Every system was air-gapped, on-network, and built for 99%+ reliability in regulated environments.
Key Contributions
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Agentic RAG PipelinesDeployed air-gapped LangGraph and LangChain agentic RAG pipelines for aerospace engineering workflows - pushed retrieval accuracy from 70% to 90%+; electronics department agent suite achieved 55% productivity boost, 94% adoption (100+ users) across 3-4 deployed agents, 99.3%+ average reliability.
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Multimodal Document IntelligenceBuilt LangGraph and LangChain multimodal document intelligence agents that autonomously parse engineering diagrams, embedded images, and dense technical documentation for downstream analysis - all data stays on-network.
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Internal MCP ServerBuilt and deployed an internal MCP (Model Context Protocol) server exposing company tools as structured interfaces for LLM agents, automating engineering workflows; 37% productivity gain. Deployed the Verilog MCP Server for Verilog engineering workflow automation.
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Gesture Recognition SystemBuilt a computer vision gesture recognition system for restricted lab environments: hands-free authentication and equipment control - 98.6% accuracy, 6x faster login, 1.4% FRR, 99.99% uptime (2-month deployment), 97% adoption.
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LLM-assisted CAD ToolPrototyped an LLM-assisted CAD tool: natural language to parametric CAD geometry with real-time FEA simulation; continued as independent research project.
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AI Agents for Supply ChainBuilt and deployed AI agents for supply chain operations across 3 departments - autonomously handling procurement queries, document routing, and status tracking; 2.5x workflow efficiency improvement.
Technologies & Impact
Retrieval accuracy improved from 70% to 90%+. Electronics department agent suite achieved 55% productivity boost with 94% adoption (100+ users) across 3-4 deployed agents. Computer vision gesture system reached 98.6% accuracy with 99.99% uptime (2-month deployment). Supply chain AI agents delivered 2.5x workflow efficiency improvement across 3 departments. MCP server integration measured 37% productivity gain for engineering workflows.