Team
Key Experiences
- Architected and deployed autonomous AI agents that aggregate, normalize, and analyze cross-system data—connecting MES, ERP, and QMS platforms to dynamically compute, summarize, and report key manufacturing metrics in real time.
- Engineered enterprise-grade RAG pipelines connecting unstructured documentation to vector repositories and Open WebUI interfaces, enabling contextual document retrieval, automated synthesis, and intelligent querying across organizational knowledge bases.
- Designed event-driven automation architectures utilizing n8n, custom REST APIs, and webhooks to synchronize complex data payloads across enterprise systems and feed live contextual data directly into agentic workflows.
- Developed agent architectures utilizing LangGraph and LangChain to manage stateful multi-step reasoning and dynamic tool calling, fully containerized using Docker for scalable and predictable deployment.
- Led site-wide MES implementations (Siemens Opcenter Core, Tulip) focusing on enterprise platform integration, Product Modeling, BOM structuring, and manufacturing routing logic.
- Engineered end-to-end data analytics pipelines and developed real-time operational and executive dashboards (Tableau, eBRs, AI prompt-to-insight features) to enhance visibility and streamline decision-making.
Technologies & Knowledge
AI Agents & Frameworks
- LangGraph
- LangChain
- Autonomous KPI Agents
- Open WebUI
- Dynamic Tool Calling
RAG & Knowledge Architectures
- Retrieval-Augmented Generation (RAG)
- Vector Embeddings
- Unstructured Data Ingestion
Engineering & Deployment
- Python
- Docker
- REST APIs
- Webhooks
- Data Engineering Pipelines
Workflow Automation
- n8n (Advanced Workflow Automation)
- Custom API Orchestration
MES & Enterprise Integration
- MES Integration (Tulip, Siemens Opcenter Core)
- Product Modeling & Routing
- ERP/ QMS Interfaces
Analytics & Visualization
- Data Analytics Pipelines
- Tableau
- Real-Time Dashboards
- eBRs
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