1 year of high-impact startup company experience in autonomous mobile robots paired with 3 years of advanced robotics projects individually architected, designed, and built from scratch by Naman Harshwal (Naman Sain).
Robot Stem-Point / TechKidz — Janakpuri, New Delhi
June 2025 – August 2025
Credential: OM/RT.L/06/08/2025
Engineered modular robotics software within a ROS2 Humble ecosystem for an intelligent Serving Humanoid Mobile Robot. Focused on full-stack autonomous navigation, LiDAR SLAM, dynamic indoor localization, and real-time microcontroller communication bridges.
Nav2 Navigation Parameter Optimization: Tuned Global Costmaps, Local Costmaps, and DWB Local Planners to enable smooth deceleration and path replanning around dynamic human obstacles.
Cartographer 2D/3D SLAM: Generated high-fidelity 2D occupancy grid maps for complex indoor dining room geometries with low scan drift.
micro-ROS Hardware Bridge: Configured serial micro-ROS clients running on ESP32 to publish wheel odometry (`/odom`) and subscribe to velocity commands (`/cmd_vel`).
Multi-Robot Operational Safety: Implemented safety monitor node enforcing hard stop zones if ultrasound or laser proximity sensors fall below 15 cm.
Robotics & AI Industrial Engineer Trainee (ROBO AI)
My Equation — Supported by NVIDIA Inception & Startup India
Nov 2024 – June 2025 (45-Day Track: Jan – Mar 2025)
DIPP105563 / UB0902GJ2022PTC132918
Completed an intensive, government-recognized industrial training curriculum covering mechanical CAD design, embedded firmware, AI chatbots, and ROS2 simulation. Engineered 4 complete production capstones under industry mentorship.
Industrial 3D CAD Modeling: Designed structural chassis assemblies in SolidWorks with precise tolerance stack-up and center-of-mass balancing.
Finite Element Analysis (FEA): Conducted stress and displacement simulations ensuring chassis structural integrity under multi-axis dynamic loads.
Multi-Sensor Telemetry Hub: Programmed ESP32 microcontrollers with I2C/SPI interfaces reading MQ-135 air quality, DHT11 temperature, and ToF VL53L0X distance sensors.
Digital Twin Gazebo Simulation: Created accurate URDF/Xacro models with physical inertial tensors for realistic simulation before hardware fabrication.
Lead Chassis & Systems Engineer — Chandrayaan-4 Rover Prototype
NIMS University — Robotics & Mechatronics Exhibition
October 2024
Exhibition Lead Showcase
Directed an interdisciplinary team across Robotics, Mechatronics, and Aerospace engineering to build a physical prototype of a lunar exploration rover inspired by ISRO's Chandrayaan mission.
Rocker-Bogie Kinematics: Designed passive mechanical linkage allowing the rover to climb steps 1.5x its wheel diameter without tilting the main payload chassis beyond 12 degrees.
Lunar Sample Retrieval Mechanism: Engineered a lightweight dual-stage servo articulated robotic gripper for acquiring and depositing simulated lunar surface regolith.
Dual-Mode Hybrid Control: Developed an ESP32 firmware architecture supporting RF manual joystick override with automated ultrasonic emergency stop routines.
Founder & Technical Creator — Nammy's ROS
Nammy's ROS — YouTube & Open-Source Community
2024 – Present
15+ Open-Source Repos
Founded an open-source technical education initiative (@nammy.s_ros) empowering early-career engineers and students to master ROS2 Humble, Gazebo simulation, URDF modeling, and embedded micro-ROS.
15+Public Repositories
100%Free & Open Access
ActiveEngineering Mentorship
ROS2 HumbleURDF & XacroGazebo FortressRViz2 Visualizationmicro-ROS on ESP32Open-Source Community
Open-Source Architecture: Published complete source code for autonomous patrol robots, hexapods, MoveIt2 arms, and micro-ROS clients on GitHub (@namanharshwal).
Practical Hands-On Tutorials: Produced deep-dive video demonstrations breaking down complex topics like ROS2 DDS configuration, coordinate transforms (`tf2`), and physical motor driver interfacing.
Peer Mentorship: Actively assist students and junior robotics developers in troubleshooting simulation physics bugs and real-time hardware bottlenecks.
"Naman has demonstrated outstanding analytical capabilities, deep competence in autonomous navigation and ROS2, and an exceptional work ethic across collaborative engineering initiatives. His ability to bridge mechanical CAD design with real-time embedded software sets him apart as an exceptional robotics engineer."