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Aria-Kalantari/README.md

Arya Kalantari

M.S. Mathematics (Data Science specialization) @ UT Dallas · B.Sc. Computer Science. I build data pipelines, machine-learning models, and numerical/scientific computing tools in Python, and I work on LLM/math reasoning evaluation. U.S. Permanent Resident (Green Card) — authorized to work in the U.S., no sponsorship required.

Focus: Data Science · Machine Learning · Numerical Linear Algebra & Optimization · AI/LLM Evaluation

Tech: Python · SQL · C/C++ · MATLAB · LaTeX · NumPy · Pandas · scikit-learn · SciPy · PyTorch · OpenCV · SQLite · SQLAlchemy · pytest · Docker · Git

Featured projects

career-pilot-ai — Python CLI that discovers, dedupes, filters, and LLM-ranks job postings (SQLite, SQLAlchemy, OpenAI structured outputs, pytest).

mcmc-multiscale-sampling — Bayesian inversion research prototype: Gaussian random fields, MCMC, and overlapping-subdomain conditioning.

SVT-Implementation-Using-svds — Low-rank matrix completion via Singular Value Thresholding and Sparse SVD.

CPU-Scheduling-Algorithms — FCFS, SJF, and Round Robin schedulers in C with tests and Docker.

Contact

Email: ariakalantari82@gmail.com

LinkedIn: https://www.linkedin.com/in/aria-kalantari-672935222/

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  1. career-pilot-ai career-pilot-ai Public

    Python CLI that discovers, dedupes, filters, and LLM-ranks job/internship postings, then generates CSV/Markdown reports and LaTeX cover letters.

    Python

  2. CPU-Scheduling-Algorithms CPU-Scheduling-Algorithms Public

    FCFS, SJF, and Round Robin CPU schedulers in C with a correctness test harness and a Dockerized build.

    C

  3. mcmc-multiscale-sampling mcmc-multiscale-sampling Public

    Python research prototype for Bayesian inversion: Gaussian random fields, Karhunen-Loeve expansions, MCMC, and overlapping-subdomain conditioning.

    Python