Building intelligent AI products using LLMs, RAG, NLP, Computer Vision and Deep Learning.
- π Currently building AI-powered applications
- π± Learning Deep Learning (CNNs), Transformers & Advanced Generative AI
- π€ Interested in LLMs, RAG, NLP, Computer Vision & AI Agents
- π¬ Ask me about Python, Machine Learning, GenAI, FastAPI, Streamlit & DSA
- π€ Open to Collaborations, Open Source & AI Projects
- β‘ Fun Fact: I love turning ideas into AI products.
Built an intelligent search engine powered by Retrieval-Augmented Generation (RAG) that retrieves relevant information and generates context-aware answers using Large Language Models.
Highlights
- π Semantic Search
- π Document Retrieval
- π€ LLM-powered Responses
- β‘ Fast and Context-Aware Search
Tech Stack
LangChain Google Gemini FAISS Sentence Transformers Python Streamlit
An intelligent conversational assistant capable of answering user queries using Retrieval-Augmented Generation and conversational memory.
Highlights
- π Context-Aware Conversations
- π Document Question Answering
- π§ Conversational Memory
- β‘ Fast Response Generation
Tech Stack
LangChain Google Gemini FAISS Python Streamlit
An AI-powered webinar intelligence platform that automatically analyzes live chat to help hosts focus on the most important conversations.
Highlights
- π¨ Priority Detection
- π Sentiment Analysis
- π Duplicate Question Clustering
- π« Spam Detection
- π AI-powered Insights
Tech Stack
Python FastAPI Sentence Transformers Scikit-Learn NLP Streamlit
A Retrieval-Augmented Generation (RAG) application that enables users to upload research papers and ask natural language questions with source-aware answers.
Highlights
- π Multi-PDF Support
- π Semantic Search
- π€ LLM-powered Q&A
- β‘ Fast Retrieval using FAISS
Tech Stack
- π» LeetCode: Add your profile link
- β‘ Codeforces: Optional
- π₯ HackerRank: Optional
- π§ Deep Learning
- π€ Generative AI
- π Transformers
- β‘ AI Agents
- π Open Source Contributions
"Code. Build. Learn. Repeat."
β If you like my work, consider giving a β to my repositories!
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