Navigation & Motion Planning Engineer | Sensor Fusion Expert
Traboda
Nov 2020 - Mar 2021
Designed and implemented secure components for embedded systems, focusing on authentication, encrypted communication, and tamper resistance. Developed lightweight C++ code for microcontrollers and sensor boards, employing AES encryption, HMAC authentication, and memory protection techniques.
C++ Embedded Security AES EncryptionClutterbot
Sept 2021 - Apr 2022
Contributed to the perception, localization, and motion planning pipeline. Fused stereo cameras and odometers to compute vehicle pose with 5% localization error. Integrated signals into closed-loop control for manipulator and base movement.
C++ Sensor Fusion LocalizationMinus Zero
June 2022 - Sept 2022
Core autonomy engineer developing and integrating localization, path planning, and trajectory control components in C++. Built custom drivers for GMSL cameras and Velodyne LiDAR signals. Implemented fallback strategies for sensor dropout and multithreading optimizations.
C++ Path Planning LiDARMinus Zero
Sept 2023 - Sept 2024
Led ZPod's navigation and motion planning stack, developing and maintaining 50k+ lines of production C++ code. Built scalable path planners and trajectory optimizers for city-scale autonomous driving. Designed custom IMU processing pipeline, fallback strategies, multithreading, and low-latency architecture.
Motion Planning Production C++ Autonomous DrivingBytes
Sept 2023 - Present
Leading a team developing production-grade navigation and motion planning stack for 2-wheelers. Built high-fidelity state estimation modules by fusing signals from stereo cameras, LiDAR, IMU, and GPS. Implemented fallback strategies for vision-only scenarios and actor-critic methods alongside classical path planners. Added 20k+ lines of C++ code to the codebase.
Sensor Fusion Navigation eCALDevelopment
Lines of Production C++
Developed and maintained over 70,000 lines of production-grade C++ code across navigation and motion planning systems.
Sensor Fusion
Precision Achieved
Achieved 95%+ localization accuracy by fusing stereo cameras, LiDAR, IMU, and GPS signals for autonomous navigation systems.
Leadership
Navigation Stacks Built
Led development of production-grade navigation and motion planning stacks for autonomous vehicles and 2-wheelers.
Optimization
Core Expertise
Expert in low-latency C++, multithreading, ROS 2, eCAL, and real-time sensor processing for resource-constrained systems.
Excellence
GPA / 10.0
B.Tech in Electrical and Computer Engineering from Amrita Vishwa Vidyapeetham, specializing in robotics and autonomous systems.
Innovation
Major Projects
Built autonomous AMRs with sonar, path planning stacks with A*, sensor fusion pipelines, and ROS-Gazebo integrations.
I'm always excited to collaborate on robotics and autonomous systems projects, discuss sensor fusion and motion planning, or explore new opportunities. Feel free to reach out!