Work Experience

• Software Developer, Finiq Consulting Pvt Ltd, Pune, India, July 2022 - Apr 2023
  • Worked with 4 multinational banks including Bank of America
  • Capabilities: Fix-to-fix connectivity in Java, developed Derivatives platform for BofA end-to-end

Academic Experience/Ongoing Projects

• ArguMentor: Augmenting User Experiences with Counter-Perspectives (advised by Dr Kurt Luther)
  • As part of Advanced Human-Computer Interaction course
  • Abstract: ArguMentor is a human-AI collaboration system that highlights claims in opinion pieces, identifies counter-arguments for them using a LLM, and generates a context-based summary of based on current events. It further enhances user understanding through additional features like a Q&A bot (that answers user questions pertaining to the text), DebateMe (an agent that users can argue any side of the piece with) and highlighting (where users can highlight a word or passage to get its definition or context). Our evaluation on news op-eds shows that participants can generate more arguments and counter-arguments and display higher critical thinking skills after engaging with the system. Further discussion highlights a more general need for this kind of a system.
  • Ongoing work: Updated User study with Prolific, to be submitted to a conference in 2025
• MultiAgent Adversarial Learning for Feedback Generation (advised by Dr. Henning Wachsmuth, collaborators: Omkar Joshi, Timon Ziegenbein)
  • External collaboration
  • Reinforcement learning framework to judge and give feedback to subjective debates
  • Arxiv and github coming soon!
• DebGraph: Graph Based Debate Evaluation and Feedback
  • As part of Advanced Topics in Data (Learning with Graphs) class
  • Graph-based system that combines the structural representation of Knowledge Graphs (KGs) with the contextual reasoning capabilities of Large Language Models (LLMs) to deliver multidimensional debate evaluation and feedback
  • Github
• Evaluating Ghost Work in AI
  • As part of Ethics in Computer Science course
  • Reflection on ghost work in AI (inspired by Ghost Work by Gray and Suri), its ethical dilemmas, and how HCI could be a potential solution to it
• Exploring Tailoring Bias in LLMs (advised by Dr Heng Ji, collaborators: Qingyun Wang, Chenkai Sun, Yi Fung)
  • Summer Internship 2024
  • Explored the bias LLMs display when asked to tailor their responses to specific demographics. 47 personas chosen, content, tone studied.