I developed AI applications in Python as an Artificial Intelligence Intern at Codec Technologies, where I also prototyped Machine Learning and LLM solutions and worked through data preprocessing, model development, testing, and debugging.
On my Agentic RAG Platform project, I architected a document question-answering app and integrated LangChain, FAISS, Hugging Face embeddings, and Ollama for semantic retrieval and local LLM inference. I added a FastAPI backend and Streamlit interface and deployed a live demo.
I also engineered CodeScribe-AI, an AI-powered source-code analysis tool that combines programmatic code parsing with Generative AI, and deployed it as an interactive web service.
During my AI/ML internship at Edunet Foundation, I completed hands-on training and designed machine-learning workflows. I built predictive models with Python, Pandas, NumPy, and Scikit-learn, and developed a movie recommendation engine using TF-IDF and cosine similarity.
