Under the Digital and Intelligence Service's (DIS) Defence Cyber Command (DCCOM), I worked with the Centre for Strategic Infocomm Technologies (CSIT) as a Cyber Security Researcher to develop efficient and optimised AI-powered solutions for automated malware reverse engineering.

• Co-led the development of the AI Engine to Help Engineers Reverse (AETHER) . Specifically, I designed, architected and implemented the agentic struct creation system present in AETHER using LangChain, LangGraph, and related tools.
• Led the research and development of malware analysis tools to enable and support malware analysts in their workflows.
• Used state-of-the-art techniques in binary code similarity detection to develop models that help generate the embedding of functions.

I was invited to speak at STACKx Cybersecurity 2026 about the struct creation system present in AETHER.

I was also a speaker at the C517 Village at DEF CON Singapore 1, again on the struct creation system in AETHER.

A trustless, secure file management solution using zero-trust security and military-grade encryption.

My current portfolio website.

A Keras based implementation of some layers mentioned in the papers The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits and Scalable MatMul-free Language Modeling as an attempt to learn the intricacies behind the layers of many machine learning models.

A free and open-source textbook on abstract algebra, complete with step-by-step explanations of the core results in that field.