Mentoring 6 students (4 B.Tech, 2 M.Tech) resulting in 4 co-authored publications: Suma Dharani Chenna (VIT), Krishna Agarwal, Anirudh Gupta, and Kanthala Saisandesh Reddy (B.Tech, IISc Bengaluru), and Diksha Agarwal and Ananya Thakur (M.Tech, CDS, IISc).
Instructor: Prof. Deepak Subramani
Covered neural network fundamentals through transformer architectures and agentic workflows, conducting tutorials on Model Context Protocol (MCP), Agent Development Kit (ADK), Agent to Agent (A2A) protocol, fine-tuning, RAG, RLVR, and multimodal models.
Materials
Instructor: Prof. Deepak Subramani
I conducted tutorials for the students on PyTorch, NLP, transformers, Hugging Face LangChain, Model Context Protocol (MCP), Agent Development Kit (ADK), and Agent to Agent (A2A) protocols and created assignments and quizzes and gave feedback to students based on evaluation for the course.
Instructor: Prof. Deepak Subramani
Covered neural network fundamentals through transformer architectures, with tutorials on fine-tuning, RAG, RLHF, RLVR, LangChain-based agentic workflows, Model Context Protocol (MCP), Agent Development Kit (ADK), Agent to Agent (A2A) protocols, and multimodal (vision language) models.
Materials
Instructor: Prof. Deepak Subramani
I conducted tutorials for the students on PyTorch, NLP, transformers, Hugging Face, and LangChain, and created assignments and quizzes and gave feedback to students based on evaluation for the course.
Instructor: Prof. Danish Pruthi
This course is a graduate-level introduction to the field of Natural Language Processing (NLP), which involves building computational systems to handle human languages. I created assignments and quizzes and gave feedback to students based on the evaluation. I mentored student projects: Understanding Reasoning Capabilities of LLMs, Efficient Integration of Knowledge into Language Models and Beyond Bias: Can LLMs act as "Society of Mind".
Course Page
Instructor: Prof. Deepak Subramani
This is a graduate level course offered to M.Tech. (Online) students of Indian Institute of Science. I conducted tutorials for the students on NumPy, pandas, Matplotlib, NLP, transformers, and Hugging Face and created assignments and quizzes and give feedback to students based on evaluation for the course.
Instructor: Prof. Deepak Subramani
This is a graduate level course offered to M.Tech. (Online) students of Indian Institute of Science. I conducted tutorials for the students on various topics including probability, linear algebra, statistics, and machine learning and created assignments and quizzes and gave feedback to students based on evaluation for the course.