About Me
Artificial Intelligence graduate with hands-on experience in Machine Learning, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and multi-agent systems. Skilled in designing and developi…
Artificial Intelligence graduate with hands-on experience in Machine Learning, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and multi-agent systems. Skilled in designing and developing AI-powered applications using Python, LangChain, FastAPI, Streamlit, MongoDB, and Groq LLaMA models. Experienced in building conversational AI systems, legal RAG chatbots, and intelligent automation solutions, with a strong foundation in data preprocessing, model training, and deployment. Passionate about leveraging AI to solve real-world business challenges.
Experience
AI Intern
<p>Designed and implemented agentic AI workflows using LangChain with OpenAI and Groq's LLaMA3 APIs for autonomous task execution and interaction.</p><p> Built and deployed FastAPI-based backends and integrated them with Streamlit UIs for seamless user experiences.</p><p> Contributed to improving RAG-based chatbot systems by optimizing retrieval quality, embedding logic, and memory management.</p><p> Collaborated with senior developers to test, debug, and scale multi-agent systems for summarization, task planning, and webbased information retrieval.</p><p> Integrated vector databases such as MongoDB Atlas and FAISS for hybrid search in Retrieval-Augmented Generation pipelines.</p>