I am a researcher based in Washington, D.C., working in the area of cryptography and artificial intelligence. My research spans provable security, privacy and safety preserving AI, and cryptographic mechanisms that enable trustworthy perception in real-world autonomous systems. I work at NIST (National Institute of Standards and Technology), conducting research across secure AI, lightweight cryptography, and uncertainty aware perception.

Cryptography and Security: My work includes both theoretical and practical contributions to authenticated encryption (AEAD), covering formal security proofs, implementation constraints, and real-world deployment trade-offs. During my doctoral research, I designed and evaluated new AEAD schemes with strong provable guarantees and high performance for resource-constrained IoT nodes and automotive ECUs.
I have also worked extensively in biometric cryptosystem, and implemented several Iris Recognition Systems for extremely low power and resource constraint devices at the kernel level (BSP, Rockchip).

Artificial Intelligence: At NIST, I am part of the NIST Automated Vehicle Program, where I developed zero-knowledge proof (zk-SNARK) framework for validating perception outputs from autonomous vehicles, that provably attest detection outcomes without disclosing model confidences, raw sensor data, or proprietary model weights, thereby enabling privacy-preserving V2V/V2I information exchange. I have also worked extensively across the computer vision pipeline, including training, optimizing, and benchmarking modern object detection and classification models and ensemble based approaches. This spans evaluation, uncertainty quantification, calibration, and dataset design to replicate real-world scenarios.
Previously: I have worked on several NLP tasks and meta-learning techniques involving LLMs.

In the past, I have worked with various firms like ETRI, Irisys, Merlot lab, Seoho electric , DXC Technology (formerly Computer Sciences Corporation) etc. on several projects and research topics in the field of cryptography, AI and related areas. I am the creater of SSE-DB[sunset], which is a restricted relational database based on searchable symmmetric encryption. Written a quantum simulator, some quantum algorithms can be tried at this link.