Utkarsh Prakash Srivastava

(Ntv) Machine Learning Researcher @NYU Langone Health

New York, NY, US

Supporting a research project that applies advanced machine learning techniques to public health and legal policy analysis and active research on Influence Function.Key Contributions: • Spearheaded the development of a legal AI system using retrieval-augmented generation (RAG) for interpreting municipal codes across U.S. jurisdictions. • Designed a semantic search pipeline integrating OpenAI embeddings, PostgreSQL, and hybrid retrieval strategies (keyword + vector) for scalable legal query resolution. • Built a custom parser and chunking pipeline to convert large, unstructured statutes into structured, searchable formats for LLM inference. • Evaluated model performance using RAGAS, enabling quantitative and qualitative benchmarking of LLM-based legal summarization. • Conducted research on Deep Metric Learning (DML) to explore embedding space interpretability and its integration into legal document similarity search. • Investigated influence functions to trace model predictions back to influential training examples, supporting interpretability and debiasing efforts in legal NLP. • Active member of the Targeted Learning Study Group, exploring advanced statistical frameworks for causal inference using semi-parametric models and machine learning.

Sikkim Manipal Institute of Technology

Bachelor of Technology (Hons), Computer Science - Specialization in Artificial Intelligence

New York University

Master's degree, Computer Engineering