Workshop – AI Engineering: Creating Working AI Prototypes
Students will work through a hands-on mini-project that brings the entire AI prototyping workflow to life: Starting with a foundation model API (large language model), integrating an orchestration tool like LangChain or LlamaIndex to handle prompts and data retrieval, storing and querying user-generated data in a vector database such as ChromaDB or Pinecone, and finally delivering an interactive interface via Streamlit or Gradio. By working through each piece of this stack, participants will gain practical experience deploying a simple, yet complete AI-powered application—reinforcing core concepts around model selection, prompt engineering, data integration, and user experience design.
Harish Kashyap is an entrepreneur and a seasoned expert in machine learning, robotics, big data, generative AI, and signal processing. He has over a decade of experience as a researcher across various industries, including Amazon Robotics, KLA Tencor, and BBN Technologies.
Harish’s career highlights include leading the development of AI-driven algorithms that interact with robotic systems, which resulted in multiple patents. He has founded two companies, Mysuru Consulting Group (MCG) and Pandita AI, in the areas of applied artificial intelligence, where he has led teams in solving several problems for customers involving big data and AI.
Harish has excelled in his professional career and made significant contributions to AI learning. As an instructor, he authored the State University of New York’s AI curriculum and taught AI at Stanford University. His role as a Subject Matter Expert for MIT’s Horizon initiative, where he contributes to AI vision statements and articles, further demonstrates his commitment to educating others about advanced technologies.
Harish holds a Master’s in Electrical Engineering from Northeastern University and a Bachelor’s in Electrical Engineering from the National Institute of Engineering, Mysore, India.
