researcher at the intersection of stochastic modeling, graph theory, and natural language processing. building systems that understand structure.
I'm a fourth-year student at the Illinois Institute of Technology studying applied mathematics, data science, and artificial intelligence. My work lives at the intersection of mathematical structure and language. I use stochastic modeling, graph theory, and NLP to understand complex systems, from pricing groundwater rights to preserving under-resourced languages.
Growing up across cultures gave me fluency in English, Hindi, Urdu, Mandarin, Spanish, and Arabic, and a deep curiosity about how languages encode meaning differently. That curiosity drives my research in NLP and my interest in low-resource language preservation. Outside of academics, I produce electronic music, study South Asian history and philosophy, and am always picking up a new language.
I'm currently a research assistant working on groundwater rights modeling (Dr. Igor Cialenco), Markov chain samplers for hypergraphs (Dr. Michael Pelsmajer), and graph theory research (Alaittin Kırtışoğlu and Dr. Hemanshu Kaul). I'm seeking opportunities where I can apply generative AI, stochastic modeling, and data science to real-world problems.
A Python library implementing mathematical algorithms from coursework: graph algorithms, stochastic processes, optimization, abstract algebra, and reinforcement learning.
A distributed Monte Carlo RL framework simulating ocean plastic drift, earning 3rd place in the Grainger Computing Innovation Prize.
Full-stack IR engine with Scrapy crawler, TF-IDF inverted index, semantic k-NN search (word2vec, FAISS), and Flask query processor.