Trupti Panhale

Software Engineer with 3+ years of experience designing and developing enterprise applications using Java, Spring Boot, REST APIs, Microservices, and cloud technologies. Hands-on experience building production-grade Agentic AI solutions using AWS Bedrock, MCP, multi-agent orchestration, LLM tool calling, and Human-in-the-Loop (HITL) workflows. Delivered scalable backend services, AI-enabled enterprise applications, system integrations, and automation solutions supporting large-scale engineering platforms and business-critical workflows.

Software Engineer at Intelizign Lifecycle Services Pvt. Ltd. (2023-08 – Present)

Client: Siemens OAT (Office of Architecture & Technology) – Digital Thread R&D

• Developed production-grade Agentic AI applications using FastAPI, AWS Bedrock, LangGraph, MCP, and Siemens FDS Envoy to support conversational BOM authoring, querying, comparison, and engineering workflow automation within Teamcenter.
• Designed and implemented multi-agent architectures with supervisor-specialist orchestration, dynamic workflow routing, tool-calling, and Human-in-the-Loop (HITL) approval workflows for enterprise AI systems.
• Integrated 44 Teamcenter operations as MCP-enabled AI tools with secure OAuth2-based cloud-to-on-prem connectivity, enabling AI-driven engineering workflows and product structure management.
• Migrated enterprise AI services from OpenAI GPT-4o and legacy architectures to Siemens FDS Envoy, implementing authentication, agent registration, workflow automation, and end-to-end request routing.
• Migrated AI agents from Server-Sent Events (SSE) to Streaming HTTP following cloud migration, improving MCP connectivity and service reliability across distributed environments.
• Built a Multi-MCP platform integrating 37 tools across Teamcenter, NX, Siemens Capital, and Altair Graph Studio (AGS), enabling dynamic discovery of agents, tools, and knowledge graph services.
• Developed Java-based REST, SPARQL, and knowledge graph integrations connecting Teamcenter with Altair Graph Studio (AGS) to provide AI-assisted access to engineering knowledge and product structure data.
• Developed Java-based enterprise integrations using Teamcenter SOA, Pub/Sub messaging, and workflow automation to support engineering notifications, project traceability, and cross-platform processes.
• Developed automated AI evaluation and regression frameworks using golden datasets and multiple evaluators, identifying 44% false-positive failures and improving validation accuracy.
• Improved reliability and observability of a 10-agent ecosystem by resolving workflow and session-management issues while building execution tracing, monitoring, and token analytics dashboards.
• Collaborated with Siemens architects and stakeholders to deliver production deployments, architecture reviews, technical demonstrations, validation findings, and Digital Thread modernization initiatives.
• Developed and enhanced Java-based backend services, REST APIs, integration workflows, and data exchange capabilities for an enterprise Teamcenter platform supporting cross-PLM integrations.
• Implemented Teamcenter customizations using BMIDE and ITK while contributing to feature development, code refactoring, defect resolution, release delivery, and performance improvements.
• Created technical documentation, API guides, and test cases to improve maintainability, usability, and release quality.

Software Engineer Intern at Cerence AI Inc. (2023-01 – 2023-07)

• Contributed to development and enhancement of automotive software solutions, supporting feature implementation, debugging, validation, and performance improvements across multiple product modules.
• Developed and maintained Core Java components while collaborating with senior engineers on application functionality, defect resolution, and release activities.
• Performed REST API testing, feature validation, troubleshooting, and deployment support within Agile software development teams.

Bachelor of Engineering (B.E.) in Information Technology – Zeal College of Engineering & Research (SPPU) (2019 – 2023)