Dhruv Singh

I’m an AI Engineer and AI/ML professional with an M.Tech foundation in Artificial Intelligence, focused on Machine Learning, Deep Learning, and Natural Language Processing. I build end-to-end LLM applications, multi-agent systems, and Retrieval-Augmented Generation (RAG) pipelines designed to be efficient, reliable, and production-ready.

In my current role, I translate recruiter hiring requirements into precise Boolean search queries to improve talent-sourcing efficiency across LinkedIn, job boards, and internal databases. Previously, I applied machine learning to improve simulation accuracy for virtual clothing models, using NLP, computer vision, and ensemble-learning to enhance garment analysis and overall model performance.

I’ve also worked on improving model interpretability with IBM AI Explainability 360 (AIX360) and benchmarked ML and deep-learning approaches at DRDO. My projects include a Multi-Agent RAG “AI Courtroom Simulator” served via FastAPI, an autonomous research assistant using LangChain agents with NVIDIA NIM and Streamlit, and a Textbook RAG Q&A pipeline that reduces hallucinations with semantic search over embeddings and source-grounded responses.