Oct 2025: Paper 'ProRefine: Inference-time Prompt Refinement with Textual Feedback' accepted to AAAI-26 Student Abstract and Poster Program
Sep 2025: Same paper accepted to NeurIPS 2025 Workshop on Efficient Reasoning
Aug 2025: Paper 'LPI-RIT at LeWiDi-2025: Improving Distributional Predictions via Metadata and Loss Reweighting with DisCo' accepted to NLPerspectives@EMNLP 2025
Aug 2025: Paper 'Forest vs Tree: The (N, K) Trade-off in Reproducible ML Evaluation' posted on arXiv
Jun 2025: 'ProRefine' paper posted on arXiv
Feb 2025: Presented 'ARTICLE: Annotator Reliability Through In-Context Learning' at AAAI 2025
Dec 2024: 'ARTICLE' paper accepted to AAAI 2025
Nov 2024: Presented 'Rater Cohesion and Quality from a Vicarious Perspective' at EMNLP 2024
Sep 2024: This paper accepted to EMNLP 2024 (Findings)
Aug–Sep 2024: Both papers posted on arXiv
2021 & 2020: Program committee member for Emoji 2021 and Emoji 2020 workshops
Jun 2021: Published 'Intent Detection using Sequence Models' on Medium
Jan 2022: Published 'Slot Filling using Sequence Models' on Medium
Research Experience
Currently a PhD student in Computer Science at Rochester Institute of Technology under Prof. Christopher Homan
Former Machine Learning Engineer at Consumer Edge
Former Senior Research Scientist at Holler Technologies, Inc., focusing on NLP and conversational AI
R&D Engineer at TCS Research (TRDDC), Tata Consultancy Services (2014–2017), collaborating with Girish Palshikar and Manoj Apte on NLP, HR analytics, and social media research
Applied Research Scientist Intern at Accenture Center of Advanced AI (June 2024)