A no cost framework for evaluating risks in Large Language Models (LLMs), developed in collaboration with Prediction Guard
AI-powered HR email assistant using RAG and LLMs for automated email classification and response generation.
LLM-powered system that transforms documents into PowerPoint presentations using multimodal RAGs and Python.
RAG-based AI chatbot for resume Q&A with real-time storage and chat history. Built using Python and hosted on Streamlit.
An analysis of Data-driven vs sentiment-driven design strategy using web analytics and sentiment analysis for Gap Inc brands.
ML-driven strategy for optimizing Airbnb ecosystem performance and stakeholder decision-making.
Ensemble model combining neural networks and gradient boosted trees for firm bankruptcy prediction.
B.Tech, Computer Science
2019 - 2023Data and AI Analyst
2023 - 2024MS, Business Analytics
2024 - 2025AI Engineer
Spring 2024AI Analyst
Summer 2025Published a paper on AdaGrad family of algorithms and another paper on preedicting SLA violations in cloud computing.
Spot award for forecasting Deloitte's cloud operating costs, data warehousing, website development and dashboarding.
Worked as teaching assistant for 5 courses, published a paper on benchmarking LLMs, graduating Aug 2025 with honors.
At this startup, I built a sales agent and benchmarked their LLM offerings for sales.
Leveraging LLMs to generate documentation for legacy codebase.