Hi, I’m Jason!
Software Engineer Intern | Undergraduate Researcher | Computer Science + Mathematics + Machine Learning Student
JB

About

I'm a Junior at Stevens Institute of Technology pursuing Bachelor's degrees in Computer Science and Mathematics, and a graduate certificate in Machine Learning. I'm currently researching transformer-boosted local-search algorithms for constructions in group theory, and algorithms to iteratively generate incidence structures. I also have the pleasure of being part of an amazing Software Engineering team at Advantest!

Click on any item below for more information.

Professional & Research

S

Software Engineer Intern

Advantest
U

Undergraduate Research Positions

Stevens Institute of Technology

Education

S

Stevens Institute of Technology

B.S. Computer Science; B.S. Mathematics; GPA: 4.0/4.0
C

Canyon Crest Academy

High School Diploma

Leadership & Volunteering

P

President

Stevens Computer Science Club
C

Co-Founder; Head of Research

Stevens Society of Artificial Intelligence
C

Class of 2027 Representative

Stevens Mathematics Department Advisory Board
H

Head of Multifactor Strategies

Stevens Student-Managed Investment Fund
E

Eagle Scout; Senior Patrol Leader; Service Volunteer

Scouting America (Boy Scouts of America)
M

Meal Program & Social Services Volunteer

St. Matthew Trinity Lutheran Church
W

Warehouse & Food Distribution Volunteer

San Diego Food Bank

Skills

Computer Science
Mathematics
Software Engineering
Machine Learning

Programming Languages

Python
C++
C#
Java
OCaml

Projects

Personal Projects

Here are some of my favorite personal projects!
(More coming very soon!)

Algorithmic Generation of Linear Spaces and Combinatorial Structures in Incidence Geometry

Algorithmic Generation of Linear Spaces and Combinatorial Structures in Incidence Geometry

Python tools to construct and visualize abstract linear spaces, implement algorithms to iteratively generate incidence structures, test geometric axioms, and explore group-theoretic, combinatorial, and graph-theoretic connections.

Python
Linear Algebra
Incidence Geometry
Group Theory
Graph-Theoretic and Deep Learning Approaches to Finite Approximations of Infinite Groups

Graph-Theoretic and Deep Learning Approaches to Finite Approximations of Infinite Groups

Implementation of graph-theoretic mathematics and transformer-boosted local-search greedy algorithms and global-search genetic algorithms to construct finite sofic approximations of infinite algebraic group structures.

Python
Group Theory
Greedy Algorithms
Genetic Algorithms
Contact

Get in Touch

Want to chat? I would love to hear from you! Just shoot me an email at [email protected] and I'll respond as soon as I can!

Updated October 1, 2025

© 2025 Jason Bhalla