I build machine learning systems that leave the notebook. Currently an M.S. Computer Science student at Rutgers University (expected 2027), where I also run recitations for 100+ undergraduates in CS336.
Most of my work sits at the seam between research and infrastructure: retrieval pipelines that have to return the right document in under a second, classifiers whose predictions someone has to defend, and services that need to still be up on Monday. I have an IEEE publication on biometric security, and my internships shipped ML features to production rather than to a slide deck.
Currently: building a mock-interview platform — a RAG pipeline that matches interview questions to a job description and résumé, backed by a scraping and deduplication stack I wrote from scratch.
Looking for: Summer 2026 SWE / AI-ML internships on teams working with LLM applications, NLP systems, or ML infrastructure.
| Languages | |
| ML / NLP | |
| Backend & web | |
| Data stores | |
| Infra |
I train models to catch bad actors and bad code. Both respond well to proper validation.


