AI/ML@Figr |  ex-SWE Intern@Microsoft | UnderGrad Researcher @ Data Science Lab | IIITD 2024

Srishti Singh  • Peerlist

Developing a novel classification algorithm in extreme class settings presented in the
context of document tagging.

Document tagging via extreme classification

Conducted an in-depth exploration of vulnerabilities and defenses within Natural Language Processing (NLP) models to enhance both their security and performance. This project delved into identifying potential weaknesses in NLP models and developing strategies to fortify them against various threats, ultimately contributing to the advancement of NLP technology in terms of robustness and reliability.

Uncovering Intellectual Property Threats to Language Models

Developed a robust, secure website dedicated to efficiently managing the roles and responsibilities of diverse stakeholders within the healthcare ecosystem. This project served as a valuable educational opportunity, imparting fundamental insights into cybersecurity while also emphasizing the importance of designing a website that prioritizes secure transactions and interactions.

The project's educational impact extended to exploring essential concepts related to security testing and website vulnerability assessments, ensuring a comprehensive understanding of safeguarding online systems.

Additionally, the project ventured briefly into the innovative realm of blockchain technology, investigating its potential for securely storing shared documents and licenses pertaining to healthcare professionals and individuals within the healthcare sector.