AI / ML Engineer
I build AI systems: production RAG, secure LLMs, and the retrieval that makes them tell the truth.
Parveen, the Pleiades. Gulab, a rose. Born under Scorpius, the chart at right.
A production retrieval-augmented generation framework over the SAP Help Portal and enterprise case management, with a prompt framework powering case summarization, root-cause analysis, outbreak detection, and component prediction.
Master's thesis at DFKI: an end-to-end system that translates text into expressive 3D sign-language motion (body, hands, and face) using VQ-VAE motion encoding and a GPT-based transformer.
Key-information extraction from multilingual investigative documents (names, organisations, addresses, dates, and amounts), benchmarking NER approaches and fine-tuning BERT and spaCy.
Reasoning chains aren't just for accuracy. In an enterprise system they're how you earn trust, debug failures, and catch a model doing something it was never asked to do.
Generation quality is the part everyone demos. Retrieval quality is the part that decides whether the demo was a lie. Notes on auto prompt-tuning for document selection.