Undergraduate Researcher |
CS + Math + SWE + ML + DS Student
About
I'm a Junior at Stevens Institute of Technology completing a B.S. in Computer Science and a B.S. in Mathematics, and Graduate Certificates in Software Engineering, Machine Learning, and Data Science & Data Engineering. I'm currently an Undergraduate Researcher in my school's Math department, and I'm working on some fun personal projects of my own (see below)! 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
Software Engineer Intern
Undergraduate Research Positions
Education
Stevens Institute of Technology
Graduate Certificates: SWE; ML; DS + DE
GPA: 4.0
Canyon Crest Academy
Leadership & Volunteering
President
Co-Founder; Head of Research
Co-Founder
Advisor
Class of 2027 Representative
Honor Chair
Head of Multifactor Strategies
Eagle Scout; Senior Patrol Leader; Service Volunteer
Meal Program & Social Services Volunteer
Warehouse & Food Distribution Volunteer
Skills
Programming Languages
Personal Projects
Here are some of my favorite personal projects!
(More coming very soon!)
QueryNudge
A query reformulation system using BM25 retrieval + LightGBM (TF-IDF baselines) to predict when rewrites improve relevance and rank 2–5 nudge suggestions, boosting MRR/NDCG in a reproducible offline eval and interactive demo UI.
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.
Graph Denoiser
A novel preprocessing step to "clean" the edges of a graph using several techniques before GNN training, aiming to 1) remove incorrect edges, 2) add missing edges, and 3) update weights of existing edges.
Quantum Diffusion
An independent project exploring quantum state diffusion of a continuously measured qubit using stochastic differential equations and Monte Carlo simulations to quantify the trade-off between information gain and decoherence.
Lincidence (Algorithmic Generation of Linear Spaces and Combinatorial Structures in Incidence Geometry)
A modular library implementing iterative generators for incidence-style data models, with efficient graph-based storage, validation pipelines, and visualization components optimized via profiling, unit tests, and continuous integration.
PBHigman (Graph-Theoretic and Deep Learning Approaches to Finite Approximations of Infinite Groups)
Transformer-augmented local-search pipelines over large graph state spaces using custom heuristic operators, deep learning, and automated hyperparameter tuning to learn scalable finite approximations of infinite algebraic structures.
Multifactor Security Model
A fully systematic asset allocation and portfolio optimization platform, including end-to-end pipelines for factor construction, portfolio optimization, performance tracking, automated data ingestion/cleaning, and experimentation with advanced academic models.
Personal Website
The website that you are currently viewing! Created because I don't like how restrictive LinkedIn is, and resumes are boring.
ChoosingToFight
A novel community platform for cancer patients to connect across the globe as part of a nonprofit startup.
Gravity Orbits Simulation
An interactive simulation to visualize gravitational orbital physics.
Spring Orbits Simulation
An interactive simulation to visualize spring orbital physics.
Schonect
A social network and media platform for high school students to connect, collaborate, communicate, and relate.
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 January 13, 2026
© 2026 Jason Bhalla