Mohit Kumhar
AI Engineer Intern at @nudgebee | RAG |Python & Machine Learning Developer | LLM
Jaipur, India
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I am Mohit Kumhar, an engineering student and Python backend developer with a strong interest in machine learning and AI systems. I have built real-time detection systems, recommendation engines, and AI-powered applications. Currently, I am working with NudgeBee, focusing on AI-agentic assistants and backend development using Python, Go, and cloud technologies. I also volunteered at a developer meetup in Pune, managing the NudgeBee booth. I am also a college-level coding competition finalist, a state-level chess player, and an active open-source contributor.
Area of Expertise
Topics
Retrieval Augmented Generation (RAG): Building Smarter AI Systems with Knowledge
Retrieval-Augmented Generation (RAG) is transforming how we build AI systems by combining the power of Large Language Models (LLMs) with dynamic external knowledge sources. In this session, we’ll explore how RAG helps overcome hallucinations, ensures fact-based responses, and enables scalable AI solutions for businesses.
I will walk through the complete architecture of RAG, including:
- Vector databases and embeddings
- Document chunking and indexing
- Retrieval pipelines
- Integration with LLMs (like Gemini, GPT, and Llama)
- Evaluation and optimization techniques
I will also show live demonstrations of how RAG powers applications like chatbots, document assistants, etc
By the end of this session, attendees will understand how to design, implement, and deploy a RAG application on cloud infrastructure for safe, secure, and scalable AI products.
Mohit Kumhar
AI Engineer Intern at @nudgebee | RAG |Python & Machine Learning Developer | LLM
Jaipur, India
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