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siddarthakvn/README.md

Siddartha KVNS

Robotics & Embedded Systems Engineer
ROS 2 · Autonomous Navigation · Isaac Sim / Isaac Lab · Embedded AI · PCB Design

LinkedIn Email


About

Embedded Systems Intern and robotics engineer in training, focused on the intersection of low-level hardware and autonomous software stacks. I build things end-to-end: schematic → PCB → firmware → ROS 2 node → simulation → field deployment. Interested in roles in autonomous mobile robotics, perception, and sim-to-real pipelines.

Focus Areas

  • Robotics Middleware — ROS 2 (Humble), DDS, tf2, lifecycle nodes, custom message/action design
  • Autonomy — Nav2 stack, SLAM (slam_toolbox, Cartographer), sensor fusion, path planning
  • Simulation — NVIDIA Isaac Sim, Isaac Lab, Gazebo, URDF/SDF modeling
  • Embedded — ESP32, STM32, ARM Cortex-M, real-time firmware, sensor interfacing (I2C/SPI/UART/CAN)
  • Hardware — Multi-layer PCB design, power electronics basics, motor control, schematic review
  • Perception & Embedded AI — OpenCV, PyTorch, model deployment on edge devices

Currently

  • Working as an Embedded Systems Intern — firmware, hardware bring-up, and product integration
  • Deepening expertise in ROS 2 Nav2, SLAM, and Isaac Sim / Isaac Lab for robot learning workflows
  • Building toward a portfolio of reproducible, documented robotics projects (sim + real hardware)

Technical Stack

Languages

C C++ Python JavaScript

Robotics & Simulation

ROS 2 Gazebo NVIDIA Isaac RViz

Perception & ML

OpenCV PyTorch TensorFlow NumPy

Embedded & Hardware

ESP32 STM32 Arduino Raspberry Pi KiCad

Tooling

Linux Git Docker CMake Bash


GitHub Activity

GitHub stats GitHub streak

Top languages


Open to collaboration on robotics, autonomy, and embedded systems projects.

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