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A-nematkhah/README.md
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๐Ÿง  About Me

I'm a Mechatronics Engineer who codes across reinforcement learning, robotics, and control systems โ€” using Python, MATLAB/Simulink, and PLC logic to bring intelligent automation into physical systems.

  • ๐Ÿ”ญ Building RL pipelines that use LLMs to evolve reward functions for autonomous driving agents
  • โš™๏ธ Coding experience spans Python (RL/robotics), MATLAB/Simulink (control), PLC ladder logic, and Arduino
  • ๐Ÿ—ฃ๏ธ Fluent in English & Persian
open_to: [AI/ML Engineer, Applied Research Engineer, Robotics Software Engineer]

๐Ÿ› ๏ธ Tech Stack

Languages ย 

Robotics & Control ย 

Simulation & Automation ย MATLAB/Simulink ย Siemens LOGO! PLC (Ladder Logic) ย FluidSIM

Tools ย 


๐Ÿš€ Featured Projects

๐Ÿ”น Text2Reward-RAG โ€” LLM-Evolved Reward Functions for Autonomous Driving
Category Details
Stack Python, RL simulation environment, LLM-in-the-loop reward generation
Performance Fixed scaling bugs (_SPEED_SCALE, _DIST_SCALE) that halved fitness values and caused plateaus
Impact Resolved lane-index bug and pipeline-level archive homogeneity, unblocking reward diversity
Repository text2reward-Rag
๐Ÿ”น Sliding Mode Control of a Robotic Manipulator
Category Details
Stack MATLAB/Simulink
Focus Robust control design for a robotic manipulator under uncertainty
Impact Demonstrated stable trajectory tracking via sliding mode control
๐Ÿ”น Robot Path Planning
Category Details
Stack Python
Focus Path planning algorithms for mobile robot navigation
๐Ÿ”น PLC-Based Pneumatic Automation System
Category Details
Stack Siemens LOGO!, Ladder Logic, Pneumatics
Focus Automated pneumatic sequencing and control logic

๐Ÿ“Š GitHub Analytics


๐Ÿ“ฌ Connect

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"Great systems aren't built by avoiding failure โ€” they're built by debugging it relentlessly."

Popular repositories Loading

  1. HighwayEnv-baseline HighwayEnv-baseline Public

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    A minimalist environment for decision-making in autonomous driving

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  2. text2reward-Rag text2reward-Rag Public

    Text-to-Reward RL for highway-env: an LLM writes, validates, and evolves complete Python reward functions for a PPO agent, with built-in reward-hacking detection.

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    Forked from eureka-research/Eureka

    Official Repository for "Eureka: Human-Level Reward Design via Coding Large Language Models" (ICLR 2024)

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  5. PPO_Highway PPO_Highway Public

    Highway-driving reinforcement learning for highway-env, built around an EUREKA-inspired loop: an LLM proposes Python reward-shaping functions, a sandbox smoke-tests them, short PPO runs train each โ€ฆ

    Python

  6. Smooty-eng Smooty-eng Public

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