Aritra Kumar Lahiri

Background

About Aritra Kumar Lahiri

AI/ML Researcher with 8+ years of software and applied research experience in context-aware QA systems, Multimodal RAG, Information Retrieval, Natural Language Processing, LLMs, and deep learning for real-world applications. With publications in top-tier journals/conferences ACM, ECIR, CIKM, MDPI, Springer), I have led research in multimodal context-aware QA in clinical and narrative domains. Skilled in Generative AI techniques and GPT-family models, with a strong record of integrating research prototypes into production environments. Actively mentored junior researchers and contributed to emerging AI trends, agentic workflows, and high-impact AI innovations. My current work is focused on Multimodal Retrieval Augmented Generation (RAG) use cases on Medical applications and Conversational Chat engines. My expertise in AI/NLP technologies includes Python, PyTorch, TensorFlow, Scikit-Learn, Pandas, Numpy, SQL, NLTK, SpaCy, Huggingface, LangChain, LlamaIndex, Flask, FastAPI, Jinja2 Templates, and MongoDB