CV

Education

  • 2017 - 2022

    Austin, TX

    Institution logo
    Ph.D.
    University of Texas at Austin
    Electrical and Computer Engineering
  • 2015 - 2017

    Austin, TX

    Institution logo
    M.S.
    University of Texas at Austin
    Electrical and Computer Engineering
  • 2010 - 2015

    Tehran, Iran

    Institution logo
    B.S.
    Sharif University of Technology
    Electrical Engineering

Experience

  • 2023-Present

    Austin, TX

    Organization logo
    AI/ML Engineer
    Polygraf AI
    Building production-grade NLP systems for detecting AI-generated and manipulated content, privacy-preserving LLM infrastructure, and AI-powered document intelligence.
    • Designed and deployed transformer-based PII detection pipelines (BERT variants) integrated into real-time product workflows.
    • Built privacy-preserving LLM infrastructure that detects, redacts, and later restores sensitive entities while preserving semantic context.
  • 2016-2022

    Austin, TX

    Organization logo
    Research Assistant
    University of Texas at Austin
    Research on combinatorial optimization problems arising in real-world large-scale systems; designed and analyzed efficient algorithms with provable performance guarantees. Published 3 journal articles and 9 conference proceedings.
  • 2018

    Atlanta, GA

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    Visiting Summer Student
    Georgia Institute of Technology
    Research on minimizing electrical loss in electricity distribution networks. Advisor: Prof. Swati Gupta.
  • 2018

    Berkeley, CA

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    Visiting Scholar
    Simons Institute, University of California, Berkeley
    Research on real-time decision-making problems arising in electricity networks.
  • 2014

    Hong Kong

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    Research Intern
    Hong Kong University of Science and Technology
    Analyzed cache-induced asymmetric cooperation for MIMO cellular networks with limited backhaul.

Awards

  • 2023
    Award logo
    2nd Place, Epson Innovation Challenge
    Epson

    Awarded for an AI-based secure print/scan system that prevents leakage of confidential data at physical document entry points.

  • 2018
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    Best Student Paper Award
    IEEE ICASSP

    For: Rasoul Shafipour, Ali Khodabakhsh, Gonzalo Mateos, Evdokia Nikolova, Digraph Fourier Transform via Spectral Dispersion Minimization, ICASSP, Calgary, 2018.

  • 2018
    Award logo
    Best Paper Runner-Up
    HICSS (Hawaii International Conference on System Sciences)

    For: Ali Khodabakhsh, Ger Yang, Soumya Basu, Evdokia Nikolova, Michael C. Caramanis, Thanasis Lianeas, Emmanouil Pountourakis, A Submodular Approach for Electricity Distribution Network Reconfiguration, 51st HICSS, Hawaii, 2018.

Skills

Programming Languages: Python, Java, C++
ML/AI Frameworks: PyTorch, TensorFlow, Scikit-learn, Hugging Face, Transformers
Data, MLOps & Deployment: NumPy, Pandas, GCP, FastAPI, Gradio

Certificates

  • Deep Learning Specialization - DeepLearning.AI (Andrew Ng) on Coursera (2022)