National University of Singapore
PhD Student · Electrical and Computer Engineering
Language-model agents · AI safety · security
Aditya Nawal
A grateful heart is a happy heart
About
I am a PhD student in Electrical and Computer Engineering at NUS. My research examines the safety and security of language-model agents, particularly how retrieval and tool use alter model behaviour and how these effects transfer across languages.
Before starting my PhD, I was a Software Development Engineer at Microsoft, where I built Azure OpenAI-assisted reasoning workflows and production tooling for cloud network diagnosis.
Career Summary
Research · Engineering · EducationMicrosoft
Software Development Engineer
Microsoft
Software Development Intern
Akamai Technologies
Software Development Intern
BITS Pilani
B.E. Electronics and Electrical Engineering
Selected Publications
Figures shown below are taken directly from the corresponding papers.
Relevance as a Vulnerability: How Web Retrieval Degrades Safety Alignment in LLM Agents
We study how incorporating web retrieval can weaken safety alignment in language-model agents.
Revolutionizing Visuals: The Role of Generative AI in Modern Image Generation
A comprehensive study of modern generative image systems, their capabilities, limitations, and deployment trade-offs.
An IoMT-based Incremental Learning Framework with a Novel Feature Selection Algorithm for Intelligent Diagnosis in Smart Healthcare
An edge-enabled incremental-learning framework for accurate and efficient diagnosis in smart healthcare.
Contact
I welcome conversations about language-model agents, retrieval security, multilingual AI safety, and research collaborations.
adityanawal@u.nus.edu