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@glenn-jocher

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xPEDRAMx/README.md

Hi there!

ML and Self-Driving Engineer | Ph.D. Candidate

PortfolioΒ Β Β LinkedInΒ Β Β Google Scholar

README MetricsΒ Β Β GitHub followersΒ Β Β Profile views

About Me

  • Machine Learning and Self-Driving Engineer with expertise in perception, motion prediction, behavior modeling and automation for AV systems. Skilled in developing perception and planning pipelines, simulation-based evaluation, multimodal sensor fusion, and AI driven decision-making. Experienced collaborating with federal research labs to integrate advanced AI and AV algorithms into intelligent transportation and automation platforms.
  • I look forward to connecting - visit my 🌐 Website to see my experience and projects, check my πŸŽ“ Scholar for publications, and reach me at βœ‰οΈ beigi@gwu.edu.

🐱 My GitHub Data

🐱 My GitHub Data

πŸ“¦ 359.4 kB Used in GitHub's Storage

πŸ† 344 Contributions in the Year 2026

🚫 Not Opted to Hire

πŸ“œ 8 Public Repositories

πŸ”‘ 3 Private Repositories

I'm an Early 🐀

🌞 Morning                803 commits         β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   21.77 % 
πŸŒ† Daytime                2150 commits        β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   58.28 % 
πŸŒƒ Evening                723 commits         β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   19.60 % 
πŸŒ™ Night                  13 commits          β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   00.35 % 

I Mostly Code in Jupyter Notebook

Jupyter Notebook         12 repos            β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   57.14 % 
Python                   7 repos             β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   33.33 % 
Shell                    1 repo              β–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   04.76 % 
HTML                     1 repo              β–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   04.76 % 

Last Updated on 02/05/2026 02:28:13 UTC

Pinned Loading

  1. MixTrafficLab MixTrafficLab Public

    The MixTrafficSimulation is a microscopic simulation designed to capture the dynamics and interactions that arise among heterogeneous road users within a shared environment.

    Python 2

  2. UtilityFlowSim UtilityFlowSim Public

    Stochastic 2D Utility-Based Simulation

    Python 2