Worked in the Robotics and Autonomous Systems(RISE) Lab• Orchestrated the visualization and analysis of real-driving data from INTERACTION Dataset• Helped to architect a Stackelberg game Monte Carlo Tree Search algorithm for social navigation of autonomous vehicles• Designed a Frenet Frame based motion planner for autonomous vehicles

• Contributed to the fine-tuning of Language Model Models (LLMs) to develop cutting-edge solution, Named Entity recognition (NER), for healthcare use cases, improving natural language understanding and identifying clinical entities.• Successfully developed a GPU driven BERT based model, using PyTorch, to achieve an average F1 score of 0.9 in medical Named Entity Recognition, enhancing the overall usability and reliability of the knowledge graph database built.• Deployed a fine tuned Llama – 2 model for Named Entity Recognition using autotrain.• Developed a visualization app for NER and relationship extraction using streamlit. • Collaborated closely with cross-functional teams, including healthcare experts, developers, and data scientists, to ensure the successful integration and deployment of AI-driven applications.• Utilized Jira to manage project workflows efficiently, ensuring seamless coordination and timely delivery of milestones.• Employed version control with git to facilitate code collaboration and maintain a streamlined development process.• Orchestrated containerization of applications using Docker, enabling smooth and consistent deployment across various environments.• Actively participated in team discussions, sharing insights and knowledge, fostering a culture of continuous learning and improvement.

• Provide support to faculty members in preparing and delivering course content on Python, GCP and MongoDB. • Assist in developing course materials, including syllabi, lecture notes, lab, and assignments. • Conduct tutorial sessions, review sessions, and other forms of academic support for students.

• Worked with an 8 member cross functional team (sales, procurement, finance and engineering) and supported with troubleshooting issues in SAP Ariba.• Used MS Excel tools (vlookup, pivot tables, macros) to consolidate, analyze and report data. • Onboarded more than 1700 suppliers, to SAP Ariba in 3 months.• Conducted training session about the digital order handling platform of SAP Ariba cloud for each supplier before onboarding.• Improved the number of order transactions via Ariba cloud by 12%.• Managed the working data such as vendor ID, Legacy vendor ID, account type and Ariba Network ID for more than 3500 suppliers in front end of SAP Ariba cloud.• Working knowledge in SAP, specifically in the T-codes: ME22N, ME23N, ME2N, LFB1, SE16, XC03, MM01, MM02