Skip to content
View jasonbhalla's full-sized avatar
Jason Bhalla
Jason Bhalla

Block or report jasonbhalla

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
jasonbhalla/README.md

Hi, I’m Jason Bhalla!

Welcome to my GitHub Profile!

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 and Data 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!

I am actively working on open-sourcing my (previously private) projects, so expect my profile to have more soon! I have a lot more projects that are not yet published but are in the process of being open-sourced!

Thanks!

Updated December 24, 2025

Pinned Loading

  1. cognitive-pathfinder cognitive-pathfinder Public

    A multimodal routing engine providing a personalized pathfinding algorithm based on subjective, user-specific costs. It fuses static data with real-time transit and traffic APIs to build a dynamic,…

    Python 1

  2. Lincidence Lincidence Public

    A Python project regarding abstract linear spaces, algorithms to iteratively generate incidence structures, testing geometric axioms, exploring group-theoretic connections, combinatorics, graph the…

    Jupyter Notebook

  3. graph-denoiser graph-denoiser Public

    "Dirty" graph edges hurt GNN training. This project aims to provide a preprocessing step to "clean" the edges of a graph using several techniques before GNN training. It aims to 1) removing incorre…

    Jupyter Notebook 1

  4. PBHigman PBHigman Public

    Transformer-augmented local-search pipelines over large graph state spaces using custom heuristic operators, deep learning, and automated hyperparameter tuning to learn scalable finite approximatio…

    Jupyter Notebook 1