Multi-Language Code Detection in Natural Language Inputs
Exploring how to detect code in natural language inputs using a lightweight, custom-trained model in Natural Language inputs.
Building AI Secuirty solutions at Aryaka Networks while pursuing my Master's in Computer Science at Georgia Institute of Technology
I'm a passionate software engineer specializing in AI security and accessibility research, currently working at Aryaka Networks as a Software Engineer while pursuing my MSCS at Georgia Institute of Technology.
At Aryaka Networks, I develop advanced security solutions for monitoring and controlling GenAI-related transactions. I build parsers to intercept and analyze GenAI HTTP traffic, implement security features at the firewall layer, and work on full-stack development spanning RESTful APIs, backend integration, and GUI design.
My former research at Arizona State University focused on human-computer interaction and accessibility, particularly developing solutions for the blind and low vision community. This work is funded by the National Institute of Health and has resulted in publications at top-tier conferences like CHI and HRI.
A comprehensive approach to making video content accessible for the blind and low vision community using advanced language models and custom datasets.
Interactive tools for exploring and understanding robot hand designs through comprehensive data analysis and user experience research.
Exploring how to detect code in natural language inputs using a lightweight, custom-trained model in Natural Language inputs.
Exploring how GenAI-based internet access patterns render current SWG functionality ineffective and discussing new approaches to address emerging security challenges.
Addressing security challenges in Large Language Models through automated red team testing and comprehensive prompt-response validation strategies.
Interested in collaboration, research opportunities, or just want to chat about next-gen AI security?