PRIYANSHU MAURYA

I’m an AI and ML–focused computer science engineer who builds practical LLM systems—especially Retrieval-Augmented Generation pipelines and agentic workflows. I enjoy turning messy information into structured, usable outputs, with evaluation and iteration built into my process.

In my experience as a Cybersecurity Virtual Intern at Palo Alto Networks, I completed hands-on labs to understand how attackers exploit vulnerabilities and how defenses block them. I strengthened my fundamentals in network security (firewalls, routing, NAT, and secure network design) and practiced incident-response through guided detection and response labs.

My projects reflect how I combine engineering rigor with modern AI tooling. In DocMind, I built an end-to-end RAG system for intelligent PDF question-answering using PyMuPDF, OpenAI embeddings, ChromaDB vector storage, and Cohere reranking, reaching 10/10 on a custom evaluation set. In Beacon, I created an autonomous research agent using Tavily Search plus scraping and GPT-4o-mini synthesis for citation-aware research summaries.

I’m also expanding into full-stack product thinking with MindVault (in progress), where I’m building a secure backend in Node.js/Express/TypeScript with JWT authentication, bcrypt password hashing, and robust MongoDB CRUD and access control. I bring the same mindset to my portfolio web work—building interactive, polished experiences with React, TypeScript, Tailwind CSS, and Streamlit.