Aman Nanda

I’m a BSc AI graduate (CGPA 9.0) with hands-on expertise in Machine Learning, NLP, and Generative AI. I build end-to-end AI solutions using Python, LangChain/LangGraph, and RAG pipelines—with a strong focus on reliability and measurable quality.

I’ve shipped 3 projects that cover autonomous research, intelligent RAG document understanding, and LLM output quality monitoring. For AgentX, I orchestrated a multi-agent platform with semantic memory, report generation, cost tracking, and a Streamlit interface.

For DocuMind Pro, I built an enterprise-grade PDF RAG assistant with citation-based conversational Q&A, embeddings, and an evaluation-driven chunking pipeline. For EvalMind, I implemented RAGAS-based evaluation for response quality, hallucination detection, and confidence scoring, backed by automated cost tracking and analytics.

Alongside projects, I completed data-focused virtual internships at Deloitte and VaultOfCodes, where I built Power BI dashboards and ETL automation to support stakeholder decisions. I’m a hackathon winner and hold certifications from IBM, Infosys, Deloitte, and Cisco, and I’m now targeting AI Engineer / GenAI Engineer / ML Engineer / Data Analyst roles.