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Doctor of Sciences (Dr. Sc.)

• Computer Science
• Applied Cryptography

Master of Sciences (M. Sc.) with distinction

• Computer Science

Bachelor of Technology (B. Tech.)

• Computer Science and Engineering
• Mathematics (minor)

Assistant Professor

Consultant, Quantum Security

Postdoctoral Fellow, PQC Research Scientist

• Part of the Cybersecurity Group, and currently analyzing post-quantum versions of real-world protocols, and constructing advanced quantum-secure primitives from zkSNARKs.
• Research efforts led to
  • IEEE SnP'25 publication, and RWC'25 talk
• Also contributing new features to AQtive Guard, SandboxAQ's cryptographic management product, and blogposts to The Cryptography Caffè, SandboxAQ's engineering tech blog.

Research Intern

• Was part of the Advanced Cryptography team, and worked on constructing quantum secure public-key encryption schemes in the standard model.
• Internship led to
  • PKC'24 publication (best paper)
  • PQCrypto'23 publication

Research Intern

• Was part of the Advanced Cryptography team, and worked on analysing quantum (in)security of widely-used blockcipher modes of operation.
• Internship led to
  • ToSC'22 publication

Research Intern

• Conducted research on augmented reality in the context of digital marketing.
• Internship led to
  • ISMAR'17 poster
  • 3 patents

Classic McEliece

• Currently being considered for ISO standardization, and was a Round 4 submission to NIST's post-quantum cryptography standardization project in the public-key encryption and key-establishment category.

• Best Paper Award, PKC'24

• Best Paper Award, PKC'23

• Master's Scholarship, Dept. of Computer Science, ETH Zürich

• Aditya Birla Group Scholarship (Engineering Stream)

• Kishore Vaigyanik Protsahan Yojana (KVPY) Fellowship

• Infosys Award

• Bronze Medal, 16th International Astronomy Olympiad

• Gold Medal, 13th National Science Olympiad

Creating Targeted Content Based on Detected Characteristics of an Augmented Reality Scene

• Patent no. US 10922716 B2

Identifying Augmented Reality Visuals Influencing User Behavior in Virtual-Commerce Environments

• Patent no. US 10950060 B2

Method, Medium, and System for Product Recommendations Based on Augmented Reality Viewpoints

• Patent no. US 10475103 B2