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Kiran1510/README.md

About Me

Robotics engineer building sensor fusion systems, ML pipelines, and hands-on hardware. MS Robotics at Northeastern University (3.91 GPA), B.Tech in Mechatronics from VIT Chennai. Currently TAing graduate Reinforcement Learning.

Looking for Fall 2026 co-op roles in robotics, AI/ML, or sensor systems.

📫 bethi.k@northeastern.edu · LinkedIn

Tech Stack

Languages: Python, MATLAB, SQL
ML/AI: PyTorch, NumPy, Pandas, Matplotlib, Neural Networks Robotics: ROS2, Sensor Fusion, Docker, Linux, Git
Hardware: Arduino, Raspberry Pi, Soldering, SolidWorks

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  1. rl-function-approximation-benchmark rl-function-approximation-benchmark Public

    A comparative study of 3 different Reinforcement Learning agents with 3 different state representations.

    Python

  2. Robot-Sensing-and-Navigation Robot-Sensing-and-Navigation Public

    ROS2 drivers and calibration tools for IMU, RTK-GPS etc. sensors, including magnetometer calibration and GPS data processing for autonomous vehicle navigation.

    Python 3

  3. Automotive-Dead-Reckoning Automotive-Dead-Reckoning Public

    ROS2 Python drivers fusing VectorNav IMU and GPS data for vehicle positioning using Kalman filtering. Achieved sub-2m position error over a 500m trajectory.

    HTML

  4. Control-Systems-Engineering-Project Control-Systems-Engineering-Project Public

    ABS controller design with Luenberger observer, pole placement

    MATLAB 1

  5. sensor_fusion_pkg sensor_fusion_pkg Public

    ROS2 Jazzy package that fuses IMU and depth sensor data using a complementary filter to estimate vertical velocity.

    Python

  6. RTAB-SLAM-Implementation RTAB-SLAM-Implementation Public

    Real-time 3D mapping integrating VectorNav VN-100 IMU with Intel RealSense D435 in ROS2. Achieved 95%+ loop closure accuracy with optimized filtering across 30+ test runs.