Summary
Shiven Chawla is a Senior Security Researcher and software engineer with 10 years of experience building secure cloud-native systems and leading projects across Microsoft, Amazon, GE Healthcare, and academia. He currently drives AI red teaming at Microsoft, performing pre-release assessments and offensive evaluations of LLMs and generative AI products, and has helped shape open-source AI-security tooling such as Counterfit and PyRIT. Comfortable shifting between hands-on engineering and threat-focused research, he has a track record of turning research into production-ready security tools and contributing to frameworks like MITRE ATLAS. His background in SDL, threat modeling, and cloud services is grounded by an M.S. in Cyber Security Engineering and practical wins including rapid global product launches and large cost optimizations. Notably, he blends offensive technique development—fine-tuning LLMs into adversarial models and demonstrating cross-domain prompt injection—with enterprise-scale risk mitigation for compliance-sensitive environments.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Technology - BTech Computer Science & Engineering, Bachelor of Technology - BTech Computer Science & Engineering at Sharda University
Master of Science - MS Cyber Security Engineering, Master of Science - MS Cyber Security Engineering at University of Washington Bothell