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MS in Computer Science

University of California, San Diego

Computer Science

BE in Computer Engineering

Pune Institute of Computer Technlogy

Computer Science

Teaching Assistant

UC San Diego

• Responsible for grading assignments and exams as well as Conducting weekly discussion sessions and office hours, guiding students through complex cryptographic protocols and implementations

Research Assistant

UC San Diego

• Worked on a research project under guidance of Prof. Nadia Heninger focused on identifying RSA keys with biased prime numbers generated from random number generators, inspired by real-world cases.
• Established a comprehensive repository of RSA public keys by aggregating data from sources including certificate transparency logs, internet scans, and GitHub keys, ensuring the repository's adaptability for future projects.
• Implemented an attack based on a relevant research paper to detect and exploit biases in RSA moduli, targeting keys with significant bias towards 0 bits in both prime factors.

Software Engineering Intern

SolUltima Technologies Pvt. Ltd.

• Responsible for development of secure Smart Contracts compatible with Blockchains based on Ethereum Virtual Machine
• Developed the Smart Contracts required for a Staking Platform for AVXL token Holders with Algorithm to earn rewards on User’s Stake using Solidity.
• Deployed the contract successfully on BSC Smart Chain and users staked more than 5 million USD worth of AVXL tokens.

Software Engineering Intern

Zubi Infotech Pvt. Ltd.

• Developed a secure Hardware Wallet Application for XinFin Network on Ledger devices, ensuring the protection of digital assets, while working at a startup with more than 50 employees.
• Collaborated with a 5-person team to design the wallet app and intuitive UI/UX interface, delivering consistent updates to stakeholders.
• Built the app in C/C++ and used JavaScript for the companion app to enable communication with the network.
• Wrote comprehensive documentation and a technical blog post to share knowledge within the company and tech community.

Research Assistant

PICT Computational Linguistics Lab

• Conducted in-depth research on image dehazing techniques, exploring various methods to remove haze from images.
• Implemented and analyzed research papers focusing on diverse algorithms, including prior-based methods like DCP and Neural Network-based solutions for depth estimation and haze removal.
• Contributed to a paper, detailing findings and insights from the research, showcasing a strong grasp of the subject matter and analytical abilities.