SWE CO-OP @ UPS

2023-2024 | Team: Business Rule Engine
LOCATION: Parsippany, New Jersey
REFERENCES: Nabeela Azeez [Manager]

▪ Collaborated with many developers in globally distributed team executing UPS business rules in Java and Eclipse
▪ Wrote code utilizing a decision governance framework to outline & test business rules before moving to production
▪ Introduced over fifty new business rules to the system & improved data integrity, reducing processing delays by 6%

LLM Researcher @ MIT LINGO

2025 | University: MIT
LOCATION: Cambridge, Massachusetts
ADVISORS: Dr. Jacob Andreas, Belinda Li
LAB_NAME: MIT Language and Intelligence Group
LINKS:  Poster   |   Report   |   Website

▪ Engineered an interpretability library for filtering attention heads by functionality in large language models (LLM)
▪ Collaborated with MIT researchers to design weekly research goals and successfully implemented method to interpet attention heads in transformer-based LLMs
▪ Deployed & validated experiments on a computer cluster to ensure robust, reproducible analysis on linguistic tasks
▪ Accepted Fall Extension offer to continue research & develop a preprint submission for ICLR

Generative Graph Research @ UCLA IPAM

2024 | University: UCLA
LOCATION: Los Angeles, California
ADVISORS: Susana Serna, Yuanzhou Adrian Chen, Raffaele Vardava
LAB_NAME: Institute for Pure & Applied Mathematics
LINKS:  Poster   |   Report

▪ Directed team of four undergrads as Project Manager in executing a 9 week research project at UCLA for industry sponsor RAND
▪ Applied generative machine learning techniques to create realistic graph datasets for epidemiological simulations
▪ Conducted research in Network Fusion, merging social networks and imputing data to estimate vaccination rates
▪ Work was presented at Joint Mathematics Meeting in Seattle through poster

Machine Learning Research @ NJIT CAMS

2022 - Present | University: NJIT
LOCATION: Newark, New Jersey
ADVISORS: Eliza Michalopoulou, Tufajjal Hossain
LAB_NAME: Center for Applied Mathematics & Statistics
LINKS:  Publication

▪ Dually pursued my own transportation research project using graph theory & assisted with ocean acoustics research using machine learning
▪ Help engineer features & visualize data in MATLAB to classify ocean sediment
▪ Edit decision trees and educate myself on classication & linear regression techniques
▪ Read relevant papers on acoustic field data and ocean characterization weekly

Engineering Research @ Rutgers GSET

2022 | University: Rutgers - New Brunswick
LOCATION: New Brunswick, New Jersey
ADVISORS: Prosenjit Bagchi, Jay Kapasiawala
LINKS:  Publication

▪ Completed a four-week research project proving the efficiency of morphing airfoils
▪ Employed MATLAB to calculate fuel efficiency & lift values for theoretical morphing aircraft
▪ Worked in a team to simulate airfoils using COMSOL and ANSYS + build an airfoil prototype
▪ Accepted to MIT and Rutgers symposiums to present our research and demonstrate model