Data Science

I am an AI and Data Science postgraduate pursuing an M.Tech in Data Science and Engineering through BITS Pilani's Work Integrated Learning Programme. I bring nearly five years of professional experience across engineering, enterprise master data management, and AI-driven application development.

I am currently focused on building a scene-aware multimodal Retrieval-Augmented Generation system for long-form video understanding. My work combines speech transcription, visual scene analysis, semantic retrieval, and large language models to deliver accurate answers to natural-language video queries.

I work primarily with Python and have hands-on experience designing end-to-end AI workflows using Whisper, FFmpeg, PySceneDetect, OpenCV, OpenAI Embeddings, ChromaDB, LangGraph, and OpenRouter. I am particularly interested in multimodal search, Video Question Answering, semantic indexing, and reducing hallucinations in generative AI applications.

Alongside AI development, I have a strong enterprise background in SAP Master Data Management, data quality, validation, migration, governance, and audit reporting. I have supported procurement, finance, supply chain, engineering, and compliance teams through accurate and well-governed master data processes.

I also have experience in mechanical design engineering, CAD modeling, technical documentation, and engineering data management. I am motivated to apply my combined engineering, data, and AI experience to scalable Generative AI and intelligent automation solutions.