Prisha Priyadarshini
AI/ML Researcher & Developer · Computer Science & Mathematics · Rutgers University -- New Brunswick
I study multi-agent consensus formation, multimodal machine learning, and interpretable AI. My work investigates how structured reasoning and reliable behavior emerge in large-scale models.
My research spans LLM deliberation systems, multimodal captioning architectures, and decision tree interpretability, combining empirical experimentation with principled algorithmic analysis.
AWS Certified Machine Learning – Specialty · AWS Certified Cloud Practitioner
Research & Industry Experience
Machine Learning Intern (Incoming)
Regeneron · QA Validations & Operations
Machine Learning Research Extern (Team Lead) --- Interpretable ML & Model Multiplicity
The Center for Discrete Mathematics and Theoretical Computer Science (DIMACS) · Rutgers University
AI Associate Developer --- Geospatial AI & ML
Insurity · Research & Development · SpatialKey Team
AI Researcher --- Multi-Agent LLM Deliberation & Consensus Dynamics
Algoverse AI Research
AI Researcher --- Multimodal Scene Captioning Systems
Algoverse AI Research · NeurIPS 2025 (7HVU Oral) · AAAI 2026 (AI4EDU)
Algorithms Researcher --- RNA Folding & Dynamic Programming
The College of New Jersey
Selected Coursework
Algorithms & Theory
Data Structures · Discrete Structures I–II · Design & Analysis of Algorithms
Artificial Intelligence
Artificial Intelligence · Deep Learning · Natural Language Processing · Data Science
Mathematics
Calculus I–III · Linear Algebra · Differential Equations · Probability & Statistics · Numerical Computing & Analysis
Systems
Computer Architecture · Operating Systems · Cryptography & Cybersecurity · Database Systems