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

About

I'm a Junior at Stevens Institute of Technology pursuing Bachelor's degrees in Computer Science and Mathematics, and Graduate Certificates in Software Engineering, Machine Learning, and Data Science & Engineering. 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, the world's biggest semiconductor testing company!

Click on any item below to expand 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
Graduate Certificates: SWE; ML; DS + DE
GPA: 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

Co-Founder

Association of Computing Machinery, Stevens Chapter
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
Data Science
Data Engineering

Programming Languages

Python
C++
C#
Java
OCaml
Projects

Personal Projects

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

Cognitive Pathfinder

Cognitive Pathfinder

A multimodal routing engine providing a personalized pathfinding algorithm based on subjective, user-specific costs, finding the optimal route that optimizes a user's perceived preferences rather than strictly raw travel time.

Python
Graph Theory
Realtime Data Processing
API Integration
Backend System Design
Full-Stack Development
Geospatial Data Parsing
General Transit Feed Specification (GTFS)
Graph Algorithms
Data Structures
Source (Coming 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
Algorithms
Data Structures
Graph Theory
Combinatorics
Source (Coming Soon!)
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
Graph Theory
Greedy Algorithms
Genetic Algorithms
Machine Learning
Deep Learning
Data Structures
Source (Coming Soon!)
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!

Website | Resume | Transcript | LinkedIn | GitHub | Email

Updated November 15, 2025

© 2025 Jason Bhalla

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