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farzadnadiri/README.md

Hi there 👋 I'm Farzad Nadiri

Applied scientist working where perception meets language models, with a PhD research track in autonomous systems at Simon Fraser University and 10+ years shipping production software. On the perception side, built bird's-eye-view camera perception, IMU and camera sensor fusion for localization, and vision-based lateral control, validated in CARLA and on physical robots. On the language side, built an agentic multimodal architecture on the Model Context Protocol with retrieval-grounded reasoning and an act-versus-advise guardrail (under review, IEEE Transactions on Intelligent Vehicles), and a speech and LLM system deployed in BC's court system. Turns research into production systems: architects large-scale ML inference pipelines on AWS SageMaker and worked in a team that won the RoboCup 2015 humanoid world championship. Let’s connect and build something remarkable together!

📫 Reach me @

Website · LinkedIn . Google Scholar

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  1. MCP-CAN MCP-CAN Public

    Vehicle CAN Bus, OBD-II and J1939 Diagnostics for LLMs (Model Context Protocol)

    Python 17 3

  2. DriverStateNet DriverStateNet Public

    Driver-impairment detection (distraction/intoxication) from multimodal sensor + video data

    Jupyter Notebook

  3. HumanoidSoccerRobot HumanoidSoccerRobot Public

    A modularized software framework for humanoid soccer robot research & development

    C#

  4. AccurateBirdEyeView AccurateBirdEyeView Public

    This project was implemented to improve localization accuracy in soccer robots by concatenation Inertial Measurement Unit data and camera input

    C#

  5. LookDownLaneDetection LookDownLaneDetection Public

    Real-time lane detection for self-driving cars using OpenCV, color masking, and edge detection with a bird’s-eye “look-down” view.

    Python

  6. ImuBasedLookAhead ImuBasedLookAhead Public

    Python