Anirudh Sharma

- Currently working on the topic “Knowledge Graph Enhanced Retrieval Augmented Generation (RAG) for Failure Analysis in Industrial Cold Rolling” - Working with state-of-the-art Generative AI technologies like LangChain, Vector Databases and Neo4j to overcome the shortcomings proposed by base LLMs in industrial failure management.

Worked as an Intern in the department of Automation - Engineered a fully functional Digital Twin of the project “Thermobox” on SIMIT using TIA Portal (PLC Code) and WinCC (HMI). - Replicated real-world behaviour and process values of I/O’s, Alarms, Safety Technology and the Drive technology. - Automated chart creation using SMG in SIMIT, and successfully implemented it for Drive Technologies removing the need of manual chart creation leading to seamless telegrams implementation.

Worked in the EU Funded project FLEX4FACT, developing dynamic building simulations across Europe. - Developed automated procedures for extracting open-source geoinformation using state of the art Python libraries. - Helped develop reduced-order models and static methods for Heat Load calculation for buildings in the vicinity of select industries. - Conducted literature research for suitable modelling approaches, collected and processed site-specific information for building physics and control parameters.

Research Intern in the Defense R&D sector of Bharat Forge Limited. Worked on the design and development of Autonomous Underwater Vehicles. Developed a complete methodology for the design of miniature AUV propellers. Tested the expected parameters with a 3-D printed model of the propeller, The research paper is published in the proceedings of Springer.