Welcome to my Portfolio

About Me

I am a fourth-year student at the Illinois Institute of Technology, where I am pursuing a dual degree in Applied Mathematics and Data Science, along with a Master's in Artificial Intelligence. My passion lies at the intersection of language, data, and computation. I am driven to use my skills in Natural Language Processing (NLP) and mathematical modeling to understand and solve complex problems, from preserving under-resourced languages to navigating the intricacies of financial markets. My global upbringing has given me a unique perspective on the socio-cultural impact of technology, and my fluency in multiple languages fuels my work in NLP. I am currently seeking internship opportunities where I can apply my expertise in generative AI and applied mathematics to real-world challenges.


Interests

Academic

  • Mathematics
  • Natural Language Processing (for Low Resource Languages)
    • Minority Language Preservation
  • Finance
  • Reinforcement Learning

Extracurricular

  • Linguistics
  • Language Learning
  • Electronic Music Production
  • Impact of AI & Technology
  • (South) Asian Studies
    • History
    • Theology
    • Philosophy

Languages

Fluent

English, Hindi-Urdu, Mandarin Chinese, Spanish


Conversational

Arabic


Learning (intermittently)

Punjabi, Portuguese (Brazilian), Persian (Dari, Farsi), Sindhi, Mongolian, and many more...

Education

Illinois Institute of Technology

Degrees:
  • Bachelor's in Applied Mathematics
  • Bachelor's in Data Science
  • Master's in Artificial Intelligence

Minor:
  • Finance

Specializations:
  • Discrete Applied Math
  • Mathematical Finance
  • Stochastics

Computer Skills

Programming Languages

Python, LaTeX, R, Java, Julia, Haskell, HTML, CSS, SQL


Music Software / DAWs

Audacity, Ableton Live, Reaper, Musescore


Graphic Design Software

Photoshop, Illustrator


Other

DaVinci Resolve, Spline

Favorite Classes

  • Introduction to Stochastic Processes
  • Artificial Intelligence Language Understanding
  • Applied Algebra
  • Modern Methods in Discrete Applied Mathematics
  • ODEs and Dynamical Systems
  • Stochastic Partial Differential Equations
  • Data Mining
  • Real Analysis
  • Introduction to Discrete Math
  • Data Preparation and Analysis
  • Introduction to Mathematical Modeling

Courses

Applied Mathematics

  • Modern Methods in Discrete Applied Mathematics
  • Stochastic Partial Differential Equations
  • Graph Theory
  • Monte Carlo Methods in Finance
  • Intro to Stochastic Processes
  • Linear Optimization
  • Intro to Computational Math
  • Applied Algebra
  • Real Analysis
  • Combinatorics
  • Probability
  • Intro to Discrete Math
  • ODEs and Dynamical Systems
  • Intro to Mathematical Modeling
  • Elementary Linear Algebra
  • Multivariate and Vector Calculus

Artificial Intelligence

  • AI Language Understanding
  • Machine Learning
  • Data Mining
  • Data Preparation and Analysis
  • Intro to Artificial Intelligence
  • Programming Paradigms and Patterns (Haskell)
  • Intro to Algorithms
  • Data Structures and Algorithms
  • Database Organization

Other

  • Deep Technology Commercialization
  • Artificial Intelligence, Philosophy and Ethics
  • Language Theory in NLP
  • Artificial Intelligence, Philosophy and Ethics
  • Principles of Economics
  • Intro to Science and Technology Studies

In Progress

  • Deep Learning
  • Information Retrieval
  • Intro to Data Science
  • Economics of Capital Investments
  • Intro to Accounting

My Projects

Agentic AI Framework

The Agentic AI Framework is a powerful orchestration agent designed to manage and coordinate multiple AI agents. It provides users with a unified chat experience, allowing seamless interaction with various specialized AI agents through a single window.

Key Technologies: Python, LangChain, OpenAI API

AI Language Understanding

Projects for my Artificial Intelligence Language Understanding course.

Key Technologies: Python

Erdős Co-authorship Network

Designed and implemented a co-author network to analyze the influence of research papers on contemporary and future research, leveraging weighted and unweighted adjacency matrices with Erdos1 data.
Explored Network Science principles, focusing on measuring influence, extracting relevant data, and creating influence measurement algorithms.

Key Technologies: Python

IB Extended Essay

This is my IB Extended Essay which explores how Natural Language Processing (NLP) can help preserve minority, regional, and oppressed languages. It addresses challenges like limited data and reviews industry approaches, such as speech-based models and gamification, while examining the social, cultural, and ethical aspects of language preservation.

Experience

Jun 2025 – Present

Intern at PeopleStrong Technologies

May 2025 – Present

Research Assistant

Aug 2024 – Present

Research Assistant

Jan 2024 – Present

Peer Tutor, Upper Level Math

Jul 2024 – Jul 2024

Intern at PeopleStrong Technologies

Aug 2024 – Jun 2024

Research Assistant

Skills

Languages

English
Hindi
Urdu
Chinese
Spanish
Arabic

Math

Stochastic Processes
Reinforcement Learning
Abstract Algebra
Modern Methods in Discrete Applied Math
Stochastic Partial Differential Equations
Graph Theory
Monte Carlo Methods
Dynamical Systems
Real Analysis
Linear Optimization
Combinatorics
Probability
Linear Algebra

CS

Artificial Intelligence
Machine Learning
Statistical Learning
Reinforcement Learning
Data Mining
Natural Language Processing
Data Preparation and Analysis
PyTorch
Python
R
Julia
Mathematica
MATLAB
Java
Haskell
LaTeX
HTML
CSS
JavaScript
SQL
Database Organization

Other

Deep Technology Commercialization
Problem Solving
Research