About Me
BCA graduate specializing in Robotics, Machine Learning, and Artificial Intelligence, with internship experience and hands-on projects in Python development, Machine Learning, Natural Language Processing (NLP), and Gener…
BCA graduate specializing in Robotics, Machine Learning, and Artificial Intelligence, with internship experience and hands-on projects in Python development, Machine Learning, Natural Language Processing (NLP), and Generative AI. Developed an Enterprise AI Copilot using Retrieval-Augmented Generation (RAG), Qdrant, Sentence Transformers, FastAPI, and Large Language Model (LLM) integration. Experienced in developing AI-powered applications for knowledge retrieval, financial sentiment analysis, and conversational interaction. Seeking an entry-level AI Engineer opportunity.
Experience
AI/ML Intern
<p>Worked on Python-based AI/ML projects involving NLP, data processing, and automation.</p><p> Developed an AI Stock Sentiment Analyzer using Python and NLP techniques to analyze financial text.</p><p> Developed an AI Voice Bot using speech recognition and NLP concepts to support conversational interaction.</p>
Robotics & Machine Learning Intern
<p>Developed Arduino-based robotics prototypes using IR and ultrasonic sensors for obstacle detection and automated movement.</p><p> Worked with DC motors, servo motors, and sensor interfacing in robotics applications.</p><p> Contributed to smart dustbin and sensor-based automation projects.</p>
PROJECTS
Enterprise AI Copilot – RAG-Based Knowledge Assistant
<p>Developed an AI-powered knowledge assistant using Python, Retrieval-Augmented Generation (RAG), Qdrant, FastAPI, and Streamlit. The project focuses on enabling users to retrieve relevant information from documents and obtain context-based answers.</p><p>Key Contributions:</p><ul><li>Implemented a RAG-based approach for document question answering.</li><li>Used Qdrant for vector storage and similarity search.</li><li>Used FastAPI for backend API development and Streamlit for the user interface.</li><li>Focused on making document-based information retrieval more efficient and accessible.</li></ul><p>Technologies: Python, RAG, Qdrant, FastAPI, Streamlit.</p>