Intro

Hello! I'm Sandeep B, an AI Engineer with a passion for Machine Learning, Deep Learning, and Natural Language Processing. With over two years of solid experience in Java development, I've transitioned into the world of AI, and I am now focusing on developing innovative AI systems and solutions.

I have worked on various AI-based projects, including chatbot development, recommendation systems, and document-based QA chatbots. I specialize in building chatbot systems using LLMs like GPT, BERT, and custom solutions with frameworks such as LangChain, LangGraph and LlamaIndex. I am also well-versed in deep learning techniques, data science tools like TensorFlow, Keras, and PyTorch, and cloud-based deployments.

Check out my Contact Page for more details on my projects and work. Feel free to explore my skills, learn about my journey, and let's connect!

Skills & Technologies: Python, Generative AI, Retrival Augmented Generation(RAG), LangChain, LangGraph, LlamaIndex, TensorFlow, PyTorch, Machine Learning(ML), Deep Learning(DL), Natural Language Processing(NLP), GPT, TensorFlow, Vector Stores, ChromaDB, OpenAI, Gemini, Huggingface, Cloud Computing, and more.

Projects

Here are some of the exciting projects I've worked on. Click on the titles to explore the details and code behind these projects.

Laptop Recommendation System

The Laptop Recommendation Assistant with Full RAG leverages a dynamic dataset of 900+ laptops stored in a .csv file, updated weekly to ensure recommendations are always accurate and up-to-date. By combining real-time retrieval from the dataset with the contextual understanding of GPT models, the chatbot delivers precise, data-driven, and personalized laptop recommendations tailored to user preferences.

Insurance Document Q/A Chatbot with LlamaIndex

The Insurance Documents RAG QA Chatbot is a smart solution for answering queries related to insurance documents. It simplifies the interpretation of dense and complex policies by integrating retrieval and generation techniques to provide accurate and contextual answers in real time.

Insurance Document Q/A Chatbot with LlamaIndex and LangChain

The Insurance Documents QA RAG Chatbot is an advanced conversational assistant designed to streamline complex queries on insurance documents while also providing general information by conducting internet searches. Utilizing Retrieval-Augmented Generation (RAG) pipelines, the chatbot intelligently determines whether to retrieve information from a document or the web, ensuring accurate and contextually relevant responses.

Insurance Document Q/A Chatbot with LlamaIndex and LangGraph

This chatbot leverages the advanced capabilities of LangGraph to deliver precise and context-aware responses. It dynamically retrieves data from insurance documents or conducts web searches based on user queries, enabling a seamless and intelligent interaction. LangGraph's graph-based orchestration and stateful design ensure optimal performance for multi-agent workflows.

About Me

Hi, I'm Sandeep B, an AI Engineer with a deep passion for Machine Learning, Deep Learning, Natural Language Processing and Generative AI. I have over two years of experience in technical support, which has helped me build a strong foundation in problem-solving and debugging.

My journey in AI started as I began learning Python and gradually moved into data science and AI modeling. I have worked on a variety of projects, ranging from GenAI-based chatbots to recommendation systems and document processing using cutting-edge models like GPT, and custom-built AI systems.

I'm always looking for opportunities to enhance my skills, work on exciting projects, and contribute to the AI and tech communities. When I'm not coding, you can find me exploring new AI research, attending tech meetups, or contributing to open-source projects.

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